From 20113b80631d1e76cd07c4e6ebaed6c768ae577a Mon Sep 17 00:00:00 2001 From: svlandeg Date: Tue, 29 Dec 2020 14:44:56 +0100 Subject: [PATCH 01/28] add train CLI example --- website/docs/api/cli.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/website/docs/api/cli.md b/website/docs/api/cli.md index 5a6143a38..e8acc830d 100644 --- a/website/docs/api/cli.md +++ b/website/docs/api/cli.md @@ -787,6 +787,12 @@ in the section `[paths]`. $ python -m spacy train [config_path] [--output] [--code] [--verbose] [--gpu-id] [overrides] ``` +> #### Example +> +> ```cli +> $ python -m spacy train config.cfg --paths.train="./train" --paths.dev="./dev" --output output_dir +> ``` + | Name | Description | | ----------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | `config_path` | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. If `-`, the data will be [read from stdin](/usage/training#config-stdin). ~~Union[Path, str] \(positional)~~ | From 1d0ef98873327236ce5098d725c017f7f1b0e895 Mon Sep 17 00:00:00 2001 From: svlandeg Date: Tue, 29 Dec 2020 14:46:03 +0100 Subject: [PATCH 02/28] move example --- website/docs/api/cli.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/website/docs/api/cli.md b/website/docs/api/cli.md index e8acc830d..f6fb4d538 100644 --- a/website/docs/api/cli.md +++ b/website/docs/api/cli.md @@ -783,16 +783,16 @@ in the section `[paths]`. -```cli -$ python -m spacy train [config_path] [--output] [--code] [--verbose] [--gpu-id] [overrides] -``` - > #### Example > > ```cli > $ python -m spacy train config.cfg --paths.train="./train" --paths.dev="./dev" --output output_dir > ``` +```cli +$ python -m spacy train [config_path] [--output] [--code] [--verbose] [--gpu-id] [overrides] +``` + | Name | Description | | ----------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | `config_path` | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. If `-`, the data will be [read from stdin](/usage/training#config-stdin). ~~Union[Path, str] \(positional)~~ | From 543073bf9d998e5efaa1065a36c4eecef2f86668 Mon Sep 17 00:00:00 2001 From: svlandeg Date: Tue, 29 Dec 2020 14:51:23 +0100 Subject: [PATCH 03/28] add pretrain example --- website/docs/api/cli.md | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/website/docs/api/cli.md b/website/docs/api/cli.md index f6fb4d538..018105065 100644 --- a/website/docs/api/cli.md +++ b/website/docs/api/cli.md @@ -786,7 +786,7 @@ in the section `[paths]`. > #### Example > > ```cli -> $ python -m spacy train config.cfg --paths.train="./train" --paths.dev="./dev" --output output_dir +> $ python -m spacy train config.cfg --output output_dir --paths.train="./train" --paths.dev="./dev" > ``` ```cli @@ -829,6 +829,13 @@ auto-generated by setting `--pretraining` on +> #### Example +> +> ```cli +> $ python -m spacy pretrain config.cfg output_pretrain --paths.raw_text="data.jsonl" +> ``` + + ```cli $ python -m spacy pretrain [config_path] [output_dir] [--code] [--resume-path] [--epoch-resume] [--gpu-id] [overrides] ``` From 43cc6aea93ba53cab48d9668771f198a3f468c91 Mon Sep 17 00:00:00 2001 From: svlandeg Date: Tue, 29 Dec 2020 14:59:39 +0100 Subject: [PATCH 04/28] remove non-existing link --- website/docs/api/cli.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/website/docs/api/cli.md b/website/docs/api/cli.md index 018105065..3783fcb79 100644 --- a/website/docs/api/cli.md +++ b/website/docs/api/cli.md @@ -807,15 +807,16 @@ $ python -m spacy train [config_path] [--output] [--code] [--verbose] [--gpu-id] ## pretrain {#pretrain new="2.1" tag="command,experimental"} Pretrain the "token to vector" ([`Tok2vec`](/api/tok2vec)) layer of pipeline -components on [raw text](/api/data-formats#pretrain), using an approximate -language-modeling objective. Specifically, we load pretrained vectors, and train -a component like a CNN, BiLSTM, etc to predict vectors which match the -pretrained ones. The weights are saved to a directory after each epoch. You can -then include a **path to one of these pretrained weights files** in your +components on raw text, using an approximate language-modeling objective. +Specifically, we load pretrained vectors, and train a component like a CNN, +BiLSTM, etc to predict vectors which match the pretrained ones. The weights are +saved to a directory after each epoch. You can then include a **path to one of +these pretrained weights files** in your [training config](/usage/training#config) as the `init_tok2vec` setting when you train your pipeline. This technique may be especially helpful if you have little labelled data. See the usage docs on -[pretraining](/usage/embeddings-transformers#pretraining) for more info. +[pretraining](/usage/embeddings-transformers#pretraining) for more info. To read +the raw text, a [`JsonlCorpus`](/api/top-level#JsonlCorpus) is typically used. @@ -835,7 +836,6 @@ auto-generated by setting `--pretraining` on > $ python -m spacy pretrain config.cfg output_pretrain --paths.raw_text="data.jsonl" > ``` - ```cli $ python -m spacy pretrain [config_path] [output_dir] [--code] [--resume-path] [--epoch-resume] [--gpu-id] [overrides] ``` From 2fa23b030468bf99f02101612af00f964f8aaa67 Mon Sep 17 00:00:00 2001 From: svlandeg Date: Tue, 29 Dec 2020 15:01:22 +0100 Subject: [PATCH 05/28] fix capitalization for link --- website/docs/api/cli.md | 2 +- website/docs/api/data-formats.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/api/cli.md b/website/docs/api/cli.md index 3783fcb79..58626b538 100644 --- a/website/docs/api/cli.md +++ b/website/docs/api/cli.md @@ -816,7 +816,7 @@ these pretrained weights files** in your train your pipeline. This technique may be especially helpful if you have little labelled data. See the usage docs on [pretraining](/usage/embeddings-transformers#pretraining) for more info. To read -the raw text, a [`JsonlCorpus`](/api/top-level#JsonlCorpus) is typically used. +the raw text, a [`JsonlCorpus`](/api/top-level#jsonlcorpus) is typically used. diff --git a/website/docs/api/data-formats.md b/website/docs/api/data-formats.md index 3df9a7ba4..fc2cda547 100644 --- a/website/docs/api/data-formats.md +++ b/website/docs/api/data-formats.md @@ -148,7 +148,7 @@ This section defines a **dictionary** mapping of string keys to functions. Each function takes an `nlp` object and yields [`Example`](/api/example) objects. By default, the two keys `train` and `dev` are specified and each refer to a [`Corpus`](/api/top-level#Corpus). When pretraining, an additional `pretrain` -section is added that defaults to a [`JsonlCorpus`](/api/top-level#JsonlCorpus). +section is added that defaults to a [`JsonlCorpus`](/api/top-level#jsonlcorpus). You can also register custom functions that return a callable. | Name | Description | From 62b4fe118f0908cfb4add1c87690d77f3dc57a50 Mon Sep 17 00:00:00 2001 From: svlandeg Date: Tue, 29 Dec 2020 15:40:22 +0100 Subject: [PATCH 06/28] prevent overwriting existing config file --- spacy/cli/init_config.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/spacy/cli/init_config.py b/spacy/cli/init_config.py index 90b92787d..55bdacd30 100644 --- a/spacy/cli/init_config.py +++ b/spacy/cli/init_config.py @@ -32,6 +32,7 @@ def init_config_cli( optimize: Optimizations = Opt(Optimizations.efficiency.value, "--optimize", "-o", help="Whether to optimize for efficiency (faster inference, smaller model, lower memory consumption) or higher accuracy (potentially larger and slower model). This will impact the choice of architecture, pretrained weights and related hyperparameters."), gpu: bool = Opt(False, "--gpu", "-G", help="Whether the model can run on GPU. This will impact the choice of architecture, pretrained weights and related hyperparameters."), pretraining: bool = Opt(False, "--pretraining", "-pt", help="Include config for pretraining (with 'spacy pretrain')"), + overwrite: bool = Opt(False, "--overwrite", "-W", help="Whether or not to overwrite the file if it already exists."), # fmt: on ): """ @@ -46,6 +47,9 @@ def init_config_cli( optimize = optimize.value pipeline = string_to_list(pipeline) is_stdout = str(output_file) == "-" + if not is_stdout and output_file.exists() and not overwrite: + msg = Printer(no_print=False) + msg.fail("The provided output file already exists. To overwrite, set the flag -W", exits=1) config = init_config( lang=lang, pipeline=pipeline, From 4347e6d39bcd5cba49821541216897a30ffac535 Mon Sep 17 00:00:00 2001 From: svlandeg Date: Wed, 30 Dec 2020 12:05:58 +0100 Subject: [PATCH 07/28] fixes for CLI info command --- spacy/cli/info.py | 28 +++++++++++++++++++--------- 1 file changed, 19 insertions(+), 9 deletions(-) diff --git a/spacy/cli/info.py b/spacy/cli/info.py index 2f2515278..36c3c063d 100644 --- a/spacy/cli/info.py +++ b/spacy/cli/info.py @@ -1,10 +1,10 @@ -from typing import Optional, Dict, Any, Union +from typing import Optional, Dict, Any, Union, List import platform from pathlib import Path from wasabi import Printer, MarkdownRenderer import srsly -from ._util import app, Arg, Opt +from ._util import app, Arg, Opt, string_to_list from .. import util from .. import about @@ -15,6 +15,7 @@ def info_cli( model: Optional[str] = Arg(None, help="Optional loadable spaCy pipeline"), markdown: bool = Opt(False, "--markdown", "-md", help="Generate Markdown for GitHub issues"), silent: bool = Opt(False, "--silent", "-s", "-S", help="Don't print anything (just return)"), + exclude: Optional[str] = Opt("labels", "--exclude", "-e", help="Comma-separated keys to exclude from the print-out"), # fmt: on ): """ @@ -24,11 +25,12 @@ def info_cli( DOCS: https://nightly.spacy.io/api/cli#info """ - info(model, markdown=markdown, silent=silent) + exclude = string_to_list(exclude) + info(model, markdown=markdown, silent=silent, exclude=exclude) def info( - model: Optional[str] = None, *, markdown: bool = False, silent: bool = True + model: Optional[str] = None, *, markdown: bool = False, silent: bool = True, exclude: List[str] ) -> Union[str, dict]: msg = Printer(no_print=silent, pretty=not silent) if model: @@ -42,13 +44,13 @@ def info( data["Pipelines"] = ", ".join( f"{n} ({v})" for n, v in data["Pipelines"].items() ) - markdown_data = get_markdown(data, title=title) + markdown_data = get_markdown(data, title=title, exclude=exclude) if markdown: if not silent: print(markdown_data) return markdown_data if not silent: - table_data = dict(data) + table_data = {k: v for k, v in data.items() if k not in exclude} msg.table(table_data, title=title) return raw_data @@ -82,7 +84,7 @@ def info_model(model: str, *, silent: bool = True) -> Dict[str, Any]: if util.is_package(model): model_path = util.get_package_path(model) else: - model_path = model + model_path = Path(model) meta_path = model_path / "meta.json" if not meta_path.is_file(): msg.fail("Can't find pipeline meta.json", meta_path, exits=1) @@ -96,7 +98,7 @@ def info_model(model: str, *, silent: bool = True) -> Dict[str, Any]: } -def get_markdown(data: Dict[str, Any], title: Optional[str] = None) -> str: +def get_markdown(data: Dict[str, Any], title: Optional[str] = None, exclude: List[str] = None) -> str: """Get data in GitHub-flavoured Markdown format for issues etc. data (dict or list of tuples): Label/value pairs. @@ -108,8 +110,16 @@ def get_markdown(data: Dict[str, Any], title: Optional[str] = None) -> str: md.add(md.title(2, title)) items = [] for key, value in data.items(): - if isinstance(value, str) and Path(value).exists(): + if exclude and key in exclude: continue + if isinstance(value, str): + try: + existing_path = Path(value).exists() + except: + # invalid Path, like a URL string + existing_path = False + if existing_path: + continue items.append(f"{md.bold(f'{key}:')} {value}") md.add(md.list(items)) return f"\n{md.text}\n" From 712a78b74a53b78f14d58d8a706dfaa20390cdc9 Mon Sep 17 00:00:00 2001 From: svlandeg Date: Wed, 30 Dec 2020 12:35:26 +0100 Subject: [PATCH 08/28] add simple unit test --- spacy/cli/info.py | 2 +- spacy/tests/test_cli.py | 13 +++++++++++++ 2 files changed, 14 insertions(+), 1 deletion(-) diff --git a/spacy/cli/info.py b/spacy/cli/info.py index 36c3c063d..19a380eb9 100644 --- a/spacy/cli/info.py +++ b/spacy/cli/info.py @@ -19,7 +19,7 @@ def info_cli( # fmt: on ): """ - Print info about spaCy installation. If a pipeline is speficied as an argument, + Print info about spaCy installation. If a pipeline is specified as an argument, print its meta information. Flag --markdown prints details in Markdown for easy copy-pasting to GitHub issues. diff --git a/spacy/tests/test_cli.py b/spacy/tests/test_cli.py index 59c2e14ec..9661e54ce 100644 --- a/spacy/tests/test_cli.py +++ b/spacy/tests/test_cli.py @@ -13,6 +13,19 @@ import srsly import os from .util import make_tempdir +from .. import info +from ..lang.nl import Dutch + + +def test_cli_info(): + nlp = Dutch() + nlp.add_pipe("textcat") + with make_tempdir() as tmp_dir: + nlp.to_disk(tmp_dir) + raw_data = info(tmp_dir, exclude=[""]) + assert raw_data["lang"] == "nl" + assert raw_data["components"] == ["textcat"] + assert raw_data["source"] == str(tmp_dir) def test_cli_converters_conllu_to_docs(): From c74ab6a31370ae8259530cd8eed62692d2773f69 Mon Sep 17 00:00:00 2001 From: svlandeg Date: Wed, 30 Dec 2020 12:40:12 +0100 Subject: [PATCH 09/28] fix imports --- spacy/tests/test_cli.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/spacy/tests/test_cli.py b/spacy/tests/test_cli.py index 9661e54ce..3442e0f6e 100644 --- a/spacy/tests/test_cli.py +++ b/spacy/tests/test_cli.py @@ -3,7 +3,9 @@ from click import NoSuchOption from spacy.training import docs_to_json, offsets_to_biluo_tags from spacy.training.converters import iob_to_docs, conll_ner_to_docs, conllu_to_docs from spacy.schemas import ProjectConfigSchema, RecommendationSchema, validate +from spacy.lang.nl import Dutch from spacy.util import ENV_VARS +from spacy.cli import info from spacy.cli.init_config import init_config, RECOMMENDATIONS from spacy.cli._util import validate_project_commands, parse_config_overrides from spacy.cli._util import load_project_config, substitute_project_variables @@ -13,8 +15,6 @@ import srsly import os from .util import make_tempdir -from .. import info -from ..lang.nl import Dutch def test_cli_info(): From d5ff0fecf8317e311494615699d693d1146e7aa2 Mon Sep 17 00:00:00 2001 From: svlandeg Date: Wed, 30 Dec 2020 14:01:13 +0100 Subject: [PATCH 10/28] add docs --- spacy/tests/test_cli.py | 1 - website/docs/api/cli.md | 25 ++++++++++++++++--------- 2 files changed, 16 insertions(+), 10 deletions(-) diff --git a/spacy/tests/test_cli.py b/spacy/tests/test_cli.py index 3442e0f6e..bfbee677a 100644 --- a/spacy/tests/test_cli.py +++ b/spacy/tests/test_cli.py @@ -25,7 +25,6 @@ def test_cli_info(): raw_data = info(tmp_dir, exclude=[""]) assert raw_data["lang"] == "nl" assert raw_data["components"] == ["textcat"] - assert raw_data["source"] == str(tmp_dir) def test_cli_converters_conllu_to_docs(): diff --git a/website/docs/api/cli.md b/website/docs/api/cli.md index 5a6143a38..e99166af8 100644 --- a/website/docs/api/cli.md +++ b/website/docs/api/cli.md @@ -61,20 +61,27 @@ markup to copy-paste into [GitHub issues](https://github.com/explosion/spaCy/issues). ```cli -$ python -m spacy info [--markdown] [--silent] +$ python -m spacy info [--markdown] [--silent] [--exclude] ``` +> #### Example +> +> ```cli +> $ python -m spacy info en_core_web_lg --markdown +> ``` + ```cli -$ python -m spacy info [model] [--markdown] [--silent] +$ python -m spacy info [model] [--markdown] [--silent] [--exclude] ``` -| Name | Description | -| ------------------------------------------------ | ----------------------------------------------------------------------------------------- | -| `model` | A trained pipeline, i.e. package name or path (optional). ~~Optional[str] \(positional)~~ | -| `--markdown`, `-md` | Print information as Markdown. ~~bool (flag)~~ | -| `--silent`, `-s` 2.0.12 | Don't print anything, just return the values. ~~bool (flag)~~ | -| `--help`, `-h` | Show help message and available arguments. ~~bool (flag)~~ | -| **PRINTS** | Information about your spaCy installation. | +| Name | Description | +| ------------------------------------------------ | --------------------------------------------------------------------------------------------- | +| `model` | A trained pipeline, i.e. package name or path (optional). ~~Optional[str] \(positional)~~ | +| `--markdown`, `-md` | Print information as Markdown. ~~bool (flag)~~ | +| `--silent`, `-s` 2.0.12 | Don't print anything, just return the values. ~~bool (flag)~~ | +| `--exclude`, `-e` | Comma-separated keys to exclude from the print-out. Defaults to `"labels"`. ~~Optional[str]~~ | +| `--help`, `-h` | Show help message and available arguments. ~~bool (flag)~~ | +| **PRINTS** | Information about your spaCy installation. | ## validate {#validate new="2" tag="command"} From a6a68da6736dc29797a53756b824fb028eecb6bf Mon Sep 17 00:00:00 2001 From: svlandeg Date: Wed, 30 Dec 2020 18:46:43 +0100 Subject: [PATCH 11/28] unskipping tests with python >= 3.6 --- spacy/tests/lang/en/test_exceptions.py | 3 +-- spacy/tests/lang/uk/test_tokenizer.py | 1 - spacy/tests/serialize/test_serialize_pipeline.py | 3 --- spacy/tests/serialize/test_serialize_tokenizer.py | 2 -- spacy/tests/vocab_vectors/test_lookups.py | 4 ---- 5 files changed, 1 insertion(+), 12 deletions(-) diff --git a/spacy/tests/lang/en/test_exceptions.py b/spacy/tests/lang/en/test_exceptions.py index 1b56a3b0f..6229b96eb 100644 --- a/spacy/tests/lang/en/test_exceptions.py +++ b/spacy/tests/lang/en/test_exceptions.py @@ -113,9 +113,8 @@ def test_en_tokenizer_norm_exceptions(en_tokenizer, text, norms): assert [token.norm_ for token in tokens] == norms -@pytest.mark.skip @pytest.mark.parametrize( - "text,norm", [("radicalised", "radicalized"), ("cuz", "because")] + "text,norm", [("Jan.", "January"), ("'cuz", "because")] ) def test_en_lex_attrs_norm_exceptions(en_tokenizer, text, norm): tokens = en_tokenizer(text) diff --git a/spacy/tests/lang/uk/test_tokenizer.py b/spacy/tests/lang/uk/test_tokenizer.py index 91ae057f8..3d6e87301 100644 --- a/spacy/tests/lang/uk/test_tokenizer.py +++ b/spacy/tests/lang/uk/test_tokenizer.py @@ -89,7 +89,6 @@ def test_uk_tokenizer_splits_open_appostrophe(uk_tokenizer, text): assert tokens[0].text == "'" -@pytest.mark.skip(reason="See Issue #3327 and PR #3329") @pytest.mark.parametrize("text", ["ะขะตัั‚''"]) def test_uk_tokenizer_splits_double_end_quote(uk_tokenizer, text): tokens = uk_tokenizer(text) diff --git a/spacy/tests/serialize/test_serialize_pipeline.py b/spacy/tests/serialize/test_serialize_pipeline.py index 2deaa180d..a26dceed0 100644 --- a/spacy/tests/serialize/test_serialize_pipeline.py +++ b/spacy/tests/serialize/test_serialize_pipeline.py @@ -140,9 +140,6 @@ def test_to_from_bytes(parser, blank_parser): assert blank_parser.moves.n_moves == parser.moves.n_moves -@pytest.mark.skip( - reason="This seems to be a dict ordering bug somewhere. Only failing on some platforms." -) def test_serialize_tagger_roundtrip_bytes(en_vocab, taggers): tagger1 = taggers[0] tagger1_b = tagger1.to_bytes() diff --git a/spacy/tests/serialize/test_serialize_tokenizer.py b/spacy/tests/serialize/test_serialize_tokenizer.py index 00a88ec38..035561606 100644 --- a/spacy/tests/serialize/test_serialize_tokenizer.py +++ b/spacy/tests/serialize/test_serialize_tokenizer.py @@ -26,7 +26,6 @@ def test_serialize_custom_tokenizer(en_vocab, en_tokenizer): assert tokenizer_reloaded.rules == {} -@pytest.mark.skip(reason="Currently unreliable across platforms") @pytest.mark.parametrize("text", ["I๐Ÿ’œyou", "theyโ€™re", "โ€œhelloโ€"]) def test_serialize_tokenizer_roundtrip_bytes(en_tokenizer, text): tokenizer = en_tokenizer @@ -38,7 +37,6 @@ def test_serialize_tokenizer_roundtrip_bytes(en_tokenizer, text): assert [token.text for token in doc1] == [token.text for token in doc2] -@pytest.mark.skip(reason="Currently unreliable across platforms") def test_serialize_tokenizer_roundtrip_disk(en_tokenizer): tokenizer = en_tokenizer with make_tempdir() as d: diff --git a/spacy/tests/vocab_vectors/test_lookups.py b/spacy/tests/vocab_vectors/test_lookups.py index d8c7651e4..94e31a072 100644 --- a/spacy/tests/vocab_vectors/test_lookups.py +++ b/spacy/tests/vocab_vectors/test_lookups.py @@ -71,7 +71,6 @@ def test_table_api_to_from_bytes(): assert "def" not in new_table2 -@pytest.mark.skip(reason="This fails on Python 3.5") def test_lookups_to_from_bytes(): lookups = Lookups() lookups.add_table("table1", {"foo": "bar", "hello": "world"}) @@ -91,7 +90,6 @@ def test_lookups_to_from_bytes(): assert new_lookups.to_bytes() == lookups_bytes -@pytest.mark.skip(reason="This fails on Python 3.5") def test_lookups_to_from_disk(): lookups = Lookups() lookups.add_table("table1", {"foo": "bar", "hello": "world"}) @@ -111,7 +109,6 @@ def test_lookups_to_from_disk(): assert table2["b"] == 2 -@pytest.mark.skip(reason="This fails on Python 3.5") def test_lookups_to_from_bytes_via_vocab(): table_name = "test" vocab = Vocab() @@ -128,7 +125,6 @@ def test_lookups_to_from_bytes_via_vocab(): assert new_vocab.to_bytes() == vocab_bytes -@pytest.mark.skip(reason="This fails on Python 3.5") def test_lookups_to_from_disk_via_vocab(): table_name = "test" vocab = Vocab() From 991669c9343ebdbf5871c78303faa904ab3b5033 Mon Sep 17 00:00:00 2001 From: Ines Montani Date: Tue, 5 Jan 2021 13:41:53 +1100 Subject: [PATCH 12/28] Tidy up and auto-format --- .gitignore | 1 + spacy/cli/download.py | 5 +- spacy/cli/evaluate.py | 4 +- spacy/lang/char_classes.py | 22 +- spacy/lang/cs/__init__.py | 9 +- spacy/lang/cs/tag_map.py | 4312 ----------------- spacy/lang/mk/lemmatizer.py | 10 +- spacy/lang/mk/lex_attrs.py | 113 +- spacy/lang/mk/tokenizer_exceptions.py | 8 +- spacy/lang/tr/tokenizer_exceptions.py | 22 +- spacy/ml/extract_ngrams.py | 1 - spacy/ml/models/parser.py | 37 +- spacy/ml/models/textcat.py | 17 +- spacy/ml/staticvectors.py | 3 +- spacy/ml/tb_framework.py | 7 +- spacy/pipeline/attributeruler.py | 13 +- spacy/scorer.py | 22 +- spacy/tests/doc/test_doc_api.py | 4 +- spacy/tests/lang/mk/test_text.py | 45 +- spacy/tests/lang/tr/test_text.py | 12 +- spacy/tests/lang/tr/test_tokenizer.py | 790 ++- spacy/tests/parser/test_arc_eager_oracle.py | 13 +- spacy/tests/parser/test_ner.py | 4 +- spacy/tests/parser/test_nn_beam.py | 14 +- spacy/tests/parser/test_state.py | 5 + spacy/tests/pipeline/test_attributeruler.py | 2 +- spacy/tests/pipeline/test_entity_ruler.py | 8 +- spacy/tests/pipeline/test_pipe_factories.py | 8 +- spacy/tests/pipeline/test_tagger.py | 1 + spacy/tests/regression/test_issue6258.py | 1 - .../tests/serialize/test_serialize_config.py | 3 +- .../serialize/test_serialize_pipeline.py | 10 +- spacy/tests/test_misc.py | 4 + spacy/tests/test_scorer.py | 14 +- spacy/tests/training/test_readers.py | 2 +- spacy/training/initialize.py | 12 +- spacy/training/pretrain.py | 3 +- spacy/util.py | 2 +- 38 files changed, 963 insertions(+), 4600 deletions(-) delete mode 100644 spacy/lang/cs/tag_map.py diff --git a/.gitignore b/.gitignore index 4dbcd67f7..ac72f2bbf 100644 --- a/.gitignore +++ b/.gitignore @@ -51,6 +51,7 @@ env3.*/ .pypyenv .pytest_cache/ .mypy_cache/ +.hypothesis/ # Distribution / packaging env/ diff --git a/spacy/cli/download.py b/spacy/cli/download.py index d5686586b..5fcac63c0 100644 --- a/spacy/cli/download.py +++ b/spacy/cli/download.py @@ -35,7 +35,10 @@ def download_cli( def download(model: str, direct: bool = False, *pip_args) -> None: - if not (is_package("spacy") or is_package("spacy-nightly")) and "--no-deps" not in pip_args: + if ( + not (is_package("spacy") or is_package("spacy-nightly")) + and "--no-deps" not in pip_args + ): msg.warn( "Skipping pipeline package dependencies and setting `--no-deps`. " "You don't seem to have the spaCy package itself installed " diff --git a/spacy/cli/evaluate.py b/spacy/cli/evaluate.py index a0ea9fbc9..b14cf2876 100644 --- a/spacy/cli/evaluate.py +++ b/spacy/cli/evaluate.py @@ -172,7 +172,9 @@ def render_parses( file_.write(html) -def print_prf_per_type(msg: Printer, scores: Dict[str, Dict[str, float]], name: str, type: str) -> None: +def print_prf_per_type( + msg: Printer, scores: Dict[str, Dict[str, float]], name: str, type: str +) -> None: data = [ (k, f"{v['p']*100:.2f}", f"{v['r']*100:.2f}", f"{v['f']*100:.2f}") for k, v in scores.items() diff --git a/spacy/lang/char_classes.py b/spacy/lang/char_classes.py index 3d71f61de..850d661b8 100644 --- a/spacy/lang/char_classes.py +++ b/spacy/lang/char_classes.py @@ -214,8 +214,22 @@ _macedonian_lower = r"ั“ั•ั˜ั™ัšัœัั" _macedonian_upper = r"ะƒะ…ะˆะ‰ะŠะŒะ€ะ" _macedonian = r"ั“ั•ั˜ั™ัšัœััะƒะ…ะˆะ‰ะŠะŒะ€ะ" -_upper = LATIN_UPPER + _russian_upper + _tatar_upper + _greek_upper + _ukrainian_upper + _macedonian_upper -_lower = LATIN_LOWER + _russian_lower + _tatar_lower + _greek_lower + _ukrainian_lower + _macedonian_lower +_upper = ( + LATIN_UPPER + + _russian_upper + + _tatar_upper + + _greek_upper + + _ukrainian_upper + + _macedonian_upper +) +_lower = ( + LATIN_LOWER + + _russian_lower + + _tatar_lower + + _greek_lower + + _ukrainian_lower + + _macedonian_lower +) _uncased = ( _bengali @@ -230,7 +244,9 @@ _uncased = ( + _cjk ) -ALPHA = group_chars(LATIN + _russian + _tatar + _greek + _ukrainian + _macedonian + _uncased) +ALPHA = group_chars( + LATIN + _russian + _tatar + _greek + _ukrainian + _macedonian + _uncased +) ALPHA_LOWER = group_chars(_lower + _uncased) ALPHA_UPPER = group_chars(_upper + _uncased) diff --git a/spacy/lang/cs/__init__.py b/spacy/lang/cs/__init__.py index ad2c2117c..26f5845cc 100644 --- a/spacy/lang/cs/__init__.py +++ b/spacy/lang/cs/__init__.py @@ -1,18 +1,11 @@ from .stop_words import STOP_WORDS -from .tag_map import TAG_MAP -from ...language import Language -from ...attrs import LANG from .lex_attrs import LEX_ATTRS from ...language import Language class CzechDefaults(Language.Defaults): - lex_attr_getters = dict(Language.Defaults.lex_attr_getters) - lex_attr_getters.update(LEX_ATTRS) - lex_attr_getters[LANG] = lambda text: "cs" - tag_map = TAG_MAP - stop_words = STOP_WORDS lex_attr_getters = LEX_ATTRS + stop_words = STOP_WORDS class Czech(Language): diff --git a/spacy/lang/cs/tag_map.py b/spacy/lang/cs/tag_map.py deleted file mode 100644 index 80eed74e5..000000000 --- a/spacy/lang/cs/tag_map.py +++ /dev/null @@ -1,4312 +0,0 @@ -# coding: utf8 -from __future__ import unicode_literals - -from ...symbols import POS, AUX, ADJ, CCONJ, NUM, ADV, ADP, X, VERB, DET, SCONJ, PUNCT -from ...symbols import NOUN, PART, INTJ, PRON - -# Source https://universaldependencies.org/tagset-conversion/cs-pdt-uposf.html -# fmt: off -TAG_MAP = { - "A.-------------": {POS: ADJ, "morph": "Abbr=Yes"}, - "A2--------A----": {POS: ADJ, "morph": "Hyph=Yes|Polarity=Pos"}, - "A2--------A---1": {POS: ADJ, "morph": "Hyph=Yes|Polarity=Pos"}, - "A2--------N----": {POS: ADJ, "morph": "Hyph=Yes|Polarity=Neg"}, - "AAFD7----1A----": {POS: ADJ, "morph": "Case=Ins|Degree=Pos|Gender=Fem|Number=Dual|Polarity=Pos"}, - "AAFD7----1A---6": {POS: ADJ, "morph": "Case=Ins|Degree=Pos|Gender=Fem|Number=Dual|Polarity=Pos|Style=Coll"}, - "AAFD7----1N----": {POS: ADJ, "morph": "Case=Ins|Degree=Pos|Gender=Fem|Number=Dual|Polarity=Neg"}, - "AAFD7----1N---6": {POS: ADJ, "morph": "Case=Ins|Degree=Pos|Gender=Fem|Number=Dual|Polarity=Neg|Style=Coll"}, - "AAFD7----2A----": {POS: ADJ, "morph": "Case=Ins|Degree=Cmp|Gender=Fem|Number=Dual|Polarity=Pos"}, - "AAFD7----2A---6": {POS: ADJ, "morph": "Case=Ins|Degree=Cmp|Gender=Fem|Number=Dual|Polarity=Pos|Style=Coll"}, - "AAFD7----2N----": {POS: ADJ, "morph": "Case=Ins|Degree=Cmp|Gender=Fem|Number=Dual|Polarity=Neg"}, - "AAFD7----2N---6": {POS: ADJ, "morph": "Case=Ins|Degree=Cmp|Gender=Fem|Number=Dual|Polarity=Neg|Style=Coll"}, - "AAFD7----3A----": {POS: ADJ, "morph": "Case=Ins|Degree=Sup|Gender=Fem|Number=Dual|Polarity=Pos"}, - "AAFD7----3A---6": {POS: ADJ, "morph": "Case=Ins|Degree=Sup|Gender=Fem|Number=Dual|Polarity=Pos|Style=Coll"}, - "AAFD7----3N----": {POS: ADJ, "morph": "Case=Ins|Degree=Sup|Gender=Fem|Number=Dual|Polarity=Neg"}, - "AAFD7----3N---6": {POS: ADJ, "morph": "Case=Ins|Degree=Sup|Gender=Fem|Number=Dual|Polarity=Neg|Style=Coll"}, - "AAFP1----1A----": {POS: ADJ, "morph": "Case=Nom|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP1----1A---6": {POS: ADJ, "morph": "Case=Nom|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP1----1N----": {POS: ADJ, "morph": "Case=Nom|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP1----1N---6": {POS: ADJ, "morph": "Case=Nom|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP1----2A----": {POS: ADJ, "morph": "Case=Nom|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP1----2A---6": {POS: ADJ, "morph": "Case=Nom|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP1----2N----": {POS: ADJ, "morph": "Case=Nom|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP1----2N---6": {POS: ADJ, "morph": "Case=Nom|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP1----3A----": {POS: ADJ, "morph": "Case=Nom|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP1----3A---6": {POS: ADJ, "morph": "Case=Nom|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP1----3N----": {POS: ADJ, "morph": "Case=Nom|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP1----3N---6": {POS: ADJ, "morph": "Case=Nom|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP2----1A----": {POS: ADJ, "morph": "Case=Gen|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP2----1A---6": {POS: ADJ, "morph": "Case=Gen|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP2----1N----": {POS: ADJ, "morph": "Case=Gen|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP2----1N---6": {POS: ADJ, "morph": "Case=Gen|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP2----2A----": {POS: ADJ, "morph": "Case=Gen|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP2----2A---6": {POS: ADJ, "morph": "Case=Gen|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP2----2N----": {POS: ADJ, "morph": "Case=Gen|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP2----2N---6": {POS: ADJ, "morph": "Case=Gen|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP2----3A----": {POS: ADJ, "morph": "Case=Gen|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP2----3A---6": {POS: ADJ, "morph": "Case=Gen|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP2----3N----": {POS: ADJ, "morph": "Case=Gen|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP2----3N---6": {POS: ADJ, "morph": "Case=Gen|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP3----1A----": {POS: ADJ, "morph": "Case=Dat|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP3----1A---6": {POS: ADJ, "morph": "Case=Dat|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP3----1N----": {POS: ADJ, "morph": "Case=Dat|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP3----1N---6": {POS: ADJ, "morph": "Case=Dat|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP3----2A----": {POS: ADJ, "morph": "Case=Dat|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP3----2A---6": {POS: ADJ, "morph": "Case=Dat|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP3----2N----": {POS: ADJ, "morph": "Case=Dat|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP3----2N---6": {POS: ADJ, "morph": "Case=Dat|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP3----3A----": {POS: ADJ, "morph": "Case=Dat|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP3----3A---6": {POS: ADJ, "morph": "Case=Dat|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP3----3N----": {POS: ADJ, "morph": "Case=Dat|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP3----3N---6": {POS: ADJ, "morph": "Case=Dat|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP4----1A----": {POS: ADJ, "morph": "Case=Acc|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP4----1A---6": {POS: ADJ, "morph": "Case=Acc|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP4----1N----": {POS: ADJ, "morph": "Case=Acc|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP4----1N---6": {POS: ADJ, "morph": "Case=Acc|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP4----2A----": {POS: ADJ, "morph": "Case=Acc|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP4----2A---6": {POS: ADJ, "morph": "Case=Acc|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP4----2N----": {POS: ADJ, "morph": "Case=Acc|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP4----2N---6": {POS: ADJ, "morph": "Case=Acc|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP4----3A----": {POS: ADJ, "morph": "Case=Acc|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP4----3A---6": {POS: ADJ, "morph": "Case=Acc|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP4----3N----": {POS: ADJ, "morph": "Case=Acc|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP4----3N---6": {POS: ADJ, "morph": "Case=Acc|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP5----1A----": {POS: ADJ, "morph": "Case=Voc|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP5----1A---6": {POS: ADJ, "morph": "Case=Voc|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP5----1N----": {POS: ADJ, "morph": "Case=Voc|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP5----1N---6": {POS: ADJ, "morph": "Case=Voc|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP5----2A----": {POS: ADJ, "morph": "Case=Voc|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP5----2A---6": {POS: ADJ, "morph": "Case=Voc|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP5----2N----": {POS: ADJ, "morph": "Case=Voc|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP5----2N---6": {POS: ADJ, "morph": "Case=Voc|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP5----3A----": {POS: ADJ, "morph": "Case=Voc|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP5----3A---6": {POS: ADJ, "morph": "Case=Voc|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP5----3N----": {POS: ADJ, "morph": "Case=Voc|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP5----3N---6": {POS: ADJ, "morph": "Case=Voc|Degree=Sup|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP6----1A----": {POS: ADJ, "morph": "Case=Loc|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP6----1A---6": {POS: ADJ, "morph": "Case=Loc|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP6----1N----": {POS: ADJ, "morph": "Case=Loc|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP6----1N---6": {POS: ADJ, "morph": "Case=Loc|Degree=Pos|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - "AAFP6----2A----": {POS: ADJ, "morph": "Case=Loc|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Pos"}, - "AAFP6----2A---6": {POS: ADJ, "morph": "Case=Loc|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Pos|Style=Coll"}, - "AAFP6----2N----": {POS: ADJ, "morph": "Case=Loc|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Neg"}, - "AAFP6----2N---6": {POS: ADJ, "morph": "Case=Loc|Degree=Cmp|Gender=Fem|Number=Plur|Polarity=Neg|Style=Coll"}, - 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"AUMS7F---------": {POS: ADJ, "morph": "Animacy=Anim|Case=Ins|Gender=Masc|Gender[psor]=Fem|Number=Sing|Poss=Yes"}, - "AUMS7F--------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Ins|Gender=Masc|Gender[psor]=Fem|Number=Sing|Poss=Yes|Style=Coll"}, - "AUMS7M---------": {POS: ADJ, "morph": "Animacy=Anim|Case=Ins|Gender=Masc|Gender[psor]=Masc|Number=Sing|Poss=Yes"}, - "AUMS7M--------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Ins|Gender=Masc|Gender[psor]=Masc|Number=Sing|Poss=Yes|Style=Coll"}, - "AUND7F---------": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Gender[psor]=Fem|Number=Dual|Poss=Yes"}, - "AUND7F--------6": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Gender[psor]=Fem|Number=Dual|Poss=Yes|Style=Coll"}, - "AUND7M---------": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Gender[psor]=Masc|Number=Dual|Poss=Yes"}, - "AUND7M--------6": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Gender[psor]=Masc|Number=Dual|Poss=Yes|Style=Coll"}, - "AUNP1F---------": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Gender[psor]=Fem|Number=Plur|Poss=Yes"}, - "AUNP1F--------6": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Gender[psor]=Fem|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNP1M---------": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Gender[psor]=Masc|Number=Plur|Poss=Yes"}, - "AUNP1M--------6": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Gender[psor]=Masc|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNP2F---------": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Gender[psor]=Fem|Number=Plur|Poss=Yes"}, - "AUNP2F--------6": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Gender[psor]=Fem|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNP2M---------": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Gender[psor]=Masc|Number=Plur|Poss=Yes"}, - "AUNP2M--------6": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Gender[psor]=Masc|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNP3F---------": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Gender[psor]=Fem|Number=Plur|Poss=Yes"}, - "AUNP3F--------6": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Gender[psor]=Fem|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNP3M---------": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Gender[psor]=Masc|Number=Plur|Poss=Yes"}, - "AUNP3M--------6": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Gender[psor]=Masc|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNP4F---------": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Gender[psor]=Fem|Number=Plur|Poss=Yes"}, - "AUNP4F--------6": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Gender[psor]=Fem|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNP4M---------": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Gender[psor]=Masc|Number=Plur|Poss=Yes"}, - "AUNP4M--------6": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Gender[psor]=Masc|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNP5F---------": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Gender[psor]=Fem|Number=Plur|Poss=Yes"}, - "AUNP5F--------6": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Gender[psor]=Fem|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNP5M---------": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Gender[psor]=Masc|Number=Plur|Poss=Yes"}, - "AUNP5M--------6": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Gender[psor]=Masc|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNP6F---------": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Gender[psor]=Fem|Number=Plur|Poss=Yes"}, - "AUNP6F--------6": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Gender[psor]=Fem|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNP6M---------": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Gender[psor]=Masc|Number=Plur|Poss=Yes"}, - "AUNP6M--------6": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Gender[psor]=Masc|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNP7F---------": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Gender[psor]=Fem|Number=Plur|Poss=Yes"}, - "AUNP7F--------6": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Gender[psor]=Fem|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNP7F--------7": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Gender[psor]=Fem|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNP7M---------": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Gender[psor]=Masc|Number=Plur|Poss=Yes"}, - "AUNP7M--------6": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Gender[psor]=Masc|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNP7M--------7": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Gender[psor]=Masc|Number=Plur|Poss=Yes|Style=Coll"}, - "AUNS1F---------": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Gender[psor]=Fem|Number=Sing|Poss=Yes"}, - "AUNS1F--------6": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Gender[psor]=Fem|Number=Sing|Poss=Yes|Style=Coll"}, - "AUNS1M---------": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Gender[psor]=Masc|Number=Sing|Poss=Yes"}, - "AUNS1M--------6": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Gender[psor]=Masc|Number=Sing|Poss=Yes|Style=Coll"}, - "AUNS2F---------": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Gender[psor]=Fem|Number=Sing|Poss=Yes"}, - "AUNS2F--------6": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Gender[psor]=Fem|Number=Sing|Poss=Yes|Style=Coll"}, - "AUNS2M---------": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Gender[psor]=Masc|Number=Sing|Poss=Yes"}, - "AUNS2M--------6": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Gender[psor]=Masc|Number=Sing|Poss=Yes|Style=Coll"}, - "AUNS3F---------": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Gender[psor]=Fem|Number=Sing|Poss=Yes"}, - "AUNS3F--------6": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Gender[psor]=Fem|Number=Sing|Poss=Yes|Style=Coll"}, - "AUNS3M---------": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Gender[psor]=Masc|Number=Sing|Poss=Yes"}, - "AUNS3M--------6": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Gender[psor]=Masc|Number=Sing|Poss=Yes|Style=Coll"}, - "AUNS4F---------": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Gender[psor]=Fem|Number=Sing|Poss=Yes"}, - "AUNS4F--------6": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Gender[psor]=Fem|Number=Sing|Poss=Yes|Style=Coll"}, - "AUNS4M---------": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Gender[psor]=Masc|Number=Sing|Poss=Yes"}, - "AUNS4M--------6": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Gender[psor]=Masc|Number=Sing|Poss=Yes|Style=Coll"}, - "AUNS5F---------": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Gender[psor]=Fem|Number=Sing|Poss=Yes"}, - "AUNS5F--------6": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Gender[psor]=Fem|Number=Sing|Poss=Yes|Style=Coll"}, - "AUNS5M---------": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Gender[psor]=Masc|Number=Sing|Poss=Yes"}, - "AUNS5M--------6": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Gender[psor]=Masc|Number=Sing|Poss=Yes|Style=Coll"}, - "AUNS6F---------": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Gender[psor]=Fem|Number=Sing|Poss=Yes"}, - "AUNS6F--------1": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Gender[psor]=Fem|Number=Sing|Poss=Yes"}, - "AUNS6F--------6": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Gender[psor]=Fem|Number=Sing|Poss=Yes|Style=Coll"}, - "AUNS6M---------": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Gender[psor]=Masc|Number=Sing|Poss=Yes"}, - "AUNS6M--------1": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Gender[psor]=Masc|Number=Sing|Poss=Yes"}, - "AUNS6M--------6": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Gender[psor]=Masc|Number=Sing|Poss=Yes|Style=Coll"}, - "AUNS7F---------": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Gender[psor]=Fem|Number=Sing|Poss=Yes"}, - "AUNS7F--------6": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Gender[psor]=Fem|Number=Sing|Poss=Yes|Style=Coll"}, - "AUNS7M---------": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Gender[psor]=Masc|Number=Sing|Poss=Yes"}, - "AUNS7M--------6": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Gender[psor]=Masc|Number=Sing|Poss=Yes|Style=Coll"}, - "AUXXXF--------8": {POS: ADJ, "morph": "Abbr=Yes|Gender[psor]=Fem|Poss=Yes"}, - "AUXXXM---------": {POS: ADJ, "morph": "Gender[psor]=Masc|Poss=Yes"}, - "AUXXXM--------6": {POS: ADJ, "morph": "Gender[psor]=Masc|Poss=Yes|Style=Coll"}, - "AUXXXM--------8": {POS: ADJ, "morph": "Abbr=Yes|Gender[psor]=Masc|Poss=Yes"}, - "C=-------------": {POS: NUM, "morph": "NumForm=Digit|NumType=Card"}, - "C}-------------": {POS: NUM, "morph": "NumForm=Roman|NumType=Card"}, - "C?--1----------": {POS: DET, "morph": "Case=Nom|NumType=Card|PronType=Int,Rel"}, - "C}------------1": {POS: NUM, "morph": "NumForm=Roman|NumType=Card"}, - "C?--2----------": {POS: DET, "morph": "Case=Gen|NumType=Card|PronType=Int,Rel"}, - "C}------------2": {POS: NUM, "morph": "NumForm=Roman|NumType=Card|Style=Arch"}, - "C?--3----------": {POS: DET, "morph": "Case=Dat|NumType=Card|PronType=Int,Rel"}, - "C3-------------": {POS: NUM, "morph": "Abbr=Yes"}, - "C?--4----------": {POS: DET, "morph": "Case=Acc|NumType=Card|PronType=Int,Rel"}, - "C?--6----------": {POS: DET, "morph": "Case=Loc|NumType=Card|PronType=Int,Rel"}, - "C?--7----------": {POS: DET, "morph": "Case=Ins|NumType=Card|PronType=Int,Rel"}, - "Ca--1----------": {POS: DET, "morph": "Case=Nom|NumType=Card|PronType=Dem,Ind"}, - "Ca--2----------": {POS: DET, "morph": "Case=Gen|NumType=Card|PronType=Dem,Ind"}, - "Ca--2---------1": {POS: DET, "morph": "Case=Gen|NumType=Card|PronType=Dem,Ind"}, - "Ca--3----------": {POS: DET, "morph": "Case=Dat|NumType=Card|PronType=Dem,Ind"}, - "Ca--4----------": {POS: DET, "morph": "Case=Acc|NumType=Card|PronType=Dem,Ind"}, - "Ca--5----------": {POS: DET, "morph": "Case=Voc|NumType=Card|PronType=Dem,Ind"}, - "Ca--6----------": {POS: DET, "morph": "Case=Loc|NumType=Card|PronType=Dem,Ind"}, - "Ca--7----------": {POS: DET, "morph": "Case=Ins|NumType=Card|PronType=Dem,Ind"}, - "Ca--X----------": {POS: DET, "morph": "NumType=Card|PronType=Dem,Ind"}, - "Ca--X---------8": {POS: DET, "morph": "Abbr=Yes|NumType=Card|PronType=Dem,Ind"}, - "CdFD7----------": {POS: ADJ, "morph": "Case=Ins|Gender=Fem|Number=Dual|NumType=Mult,Sets"}, - "CdFD7---------6": {POS: ADJ, "morph": "Case=Ins|Gender=Fem|Number=Dual|NumType=Mult,Sets|Style=Coll"}, - "CdFP1----------": {POS: ADJ, "morph": "Case=Nom|Gender=Fem|Number=Plur|NumType=Mult,Sets"}, - "CdFP1---------6": {POS: ADJ, "morph": "Case=Nom|Gender=Fem|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdFP2----------": {POS: ADJ, "morph": "Case=Gen|Gender=Fem|Number=Plur|NumType=Mult,Sets"}, - "CdFP2---------6": {POS: ADJ, "morph": "Case=Gen|Gender=Fem|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdFP3----------": {POS: ADJ, "morph": "Case=Dat|Gender=Fem|Number=Plur|NumType=Mult,Sets"}, - "CdFP3---------6": {POS: ADJ, "morph": "Case=Dat|Gender=Fem|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdFP4----------": {POS: ADJ, "morph": "Case=Acc|Gender=Fem|Number=Plur|NumType=Mult,Sets"}, - "CdFP4---------6": {POS: ADJ, "morph": "Case=Acc|Gender=Fem|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdFP5----------": {POS: ADJ, "morph": "Case=Voc|Gender=Fem|Number=Plur|NumType=Mult,Sets"}, - "CdFP5---------6": {POS: ADJ, "morph": "Case=Voc|Gender=Fem|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdFP6----------": {POS: ADJ, "morph": "Case=Loc|Gender=Fem|Number=Plur|NumType=Mult,Sets"}, - "CdFP6---------6": {POS: ADJ, "morph": "Case=Loc|Gender=Fem|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdFP7----------": {POS: ADJ, "morph": "Case=Ins|Gender=Fem|Number=Plur|NumType=Mult,Sets"}, - "CdFP7---------6": {POS: ADJ, "morph": "Case=Ins|Gender=Fem|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdFP7---------7": {POS: ADJ, "morph": "Case=Ins|Gender=Fem|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdFS1----------": {POS: ADJ, "morph": "Case=Nom|Gender=Fem|Number=Sing|NumType=Mult,Sets"}, - "CdFS2----------": {POS: ADJ, "morph": "Case=Gen|Gender=Fem|Number=Sing|NumType=Mult,Sets"}, - "CdFS2---------6": {POS: ADJ, "morph": "Case=Gen|Gender=Fem|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdFS3----------": {POS: ADJ, "morph": "Case=Dat|Gender=Fem|Number=Sing|NumType=Mult,Sets"}, - "CdFS3---------6": {POS: ADJ, "morph": "Case=Dat|Gender=Fem|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdFS4----------": {POS: ADJ, "morph": "Case=Acc|Gender=Fem|Number=Sing|NumType=Mult,Sets"}, - "CdFS4---------2": {POS: ADJ, "morph": "Case=Acc|Gender=Fem|Number=Sing|NumType=Mult,Sets|Style=Arch"}, - "CdFS5----------": {POS: ADJ, "morph": "Case=Voc|Gender=Fem|Number=Sing|NumType=Mult,Sets"}, - "CdFS6----------": {POS: ADJ, "morph": "Case=Loc|Gender=Fem|Number=Sing|NumType=Mult,Sets"}, - "CdFS6---------6": {POS: ADJ, "morph": "Case=Loc|Gender=Fem|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdFS7----------": {POS: ADJ, "morph": "Case=Ins|Gender=Fem|Number=Sing|NumType=Mult,Sets"}, - "CdIP1----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|NumType=Mult,Sets"}, - "CdIP1---------6": {POS: ADJ,"morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdIP2----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Gen|Gender=Masc|Number=Plur|NumType=Mult,Sets"}, - "CdIP2---------6": {POS: ADJ,"morph": "Animacy=Inan|Case=Gen|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdIP3----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Dat|Gender=Masc|Number=Plur|NumType=Mult,Sets"}, - "CdIP3---------6": {POS: ADJ,"morph": "Animacy=Inan|Case=Dat|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdIP4----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Plur|NumType=Mult,Sets"}, - "CdIP4---------6": {POS: ADJ,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdIP5----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Plur|NumType=Mult,Sets"}, - "CdIP5---------6": {POS: ADJ,"morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdIP6----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Loc|Gender=Masc|Number=Plur|NumType=Mult,Sets"}, - "CdIP6---------6": {POS: ADJ,"morph": "Animacy=Inan|Case=Loc|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdIP7----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Ins|Gender=Masc|Number=Plur|NumType=Mult,Sets"}, - "CdIP7---------6": {POS: ADJ,"morph": "Animacy=Inan|Case=Ins|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdIP7---------7": {POS: ADJ,"morph": "Animacy=Inan|Case=Ins|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdIS1----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdIS1---------6": {POS: ADJ,"morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdIS2----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Gen|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdIS2---------6": {POS: ADJ,"morph": "Animacy=Inan|Case=Gen|Gender=Masc|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdIS3----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Dat|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdIS3---------6": {POS: ADJ,"morph": "Animacy=Inan|Case=Dat|Gender=Masc|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdIS4----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdIS4---------6": {POS: ADJ,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdIS5----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdIS5---------6": {POS: ADJ,"morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdIS6----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Loc|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdIS6---------6": {POS: ADJ,"morph": "Animacy=Inan|Case=Loc|Gender=Masc|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdIS7----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Ins|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdIS7---------6": {POS: ADJ,"morph": "Animacy=Inan|Case=Ins|Gender=Masc|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdMP1----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|NumType=Mult,Sets"}, - "CdMP1---------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdMP2----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Gen|Gender=Masc|Number=Plur|NumType=Mult,Sets"}, - "CdMP2---------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Gen|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdMP3----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Dat|Gender=Masc|Number=Plur|NumType=Mult,Sets"}, - "CdMP3---------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Dat|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdMP4----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Plur|NumType=Mult,Sets"}, - "CdMP4---------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdMP5----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Plur|NumType=Mult,Sets"}, - "CdMP5---------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdMP6----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Loc|Gender=Masc|Number=Plur|NumType=Mult,Sets"}, - "CdMP6---------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Loc|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdMP7----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Ins|Gender=Masc|Number=Plur|NumType=Mult,Sets"}, - "CdMP7---------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Ins|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdMP7---------7": {POS: ADJ,"morph": "Animacy=Anim|Case=Ins|Gender=Masc|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdMS1----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdMS1---------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdMS2----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Gen|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdMS2---------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Gen|Gender=Masc|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdMS3----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Dat|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdMS3---------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Dat|Gender=Masc|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdMS4----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdMS4---------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdMS5----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdMS5---------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdMS6----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Loc|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdMS6---------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Loc|Gender=Masc|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdMS7----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Ins|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdMS7---------6": {POS: ADJ,"morph": "Animacy=Anim|Case=Ins|Gender=Masc|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdND7----------": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Number=Dual|NumType=Mult,Sets"}, - "CdNP1----------": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Number=Plur|NumType=Mult,Sets"}, - "CdNP1---------6": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdNP2----------": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Number=Plur|NumType=Mult,Sets"}, - "CdNP2---------6": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdNP3----------": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Number=Plur|NumType=Mult,Sets"}, - "CdNP3---------6": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdNP4----------": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Number=Plur|NumType=Mult,Sets"}, - "CdNP4---------6": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdNP5----------": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Number=Plur|NumType=Mult,Sets"}, - "CdNP5---------6": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdNP6----------": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Number=Plur|NumType=Mult,Sets"}, - "CdNP6---------6": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdNP7----------": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Number=Plur|NumType=Mult,Sets"}, - "CdNP7---------6": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdNP7---------7": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Number=Plur|NumType=Mult,Sets|Style=Coll"}, - "CdNS1----------": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Number=Sing|NumType=Mult,Sets"}, - "CdNS1---------1": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Number=Sing|NumType=Mult,Sets"}, - "CdNS1---------6": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdNS2----------": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Number=Sing|NumType=Mult,Sets"}, - "CdNS2---------6": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdNS3----------": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Number=Sing|NumType=Mult,Sets"}, - "CdNS3---------6": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdNS4----------": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Number=Sing|NumType=Mult,Sets"}, - "CdNS4---------1": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Number=Sing|NumType=Mult,Sets"}, - "CdNS4---------6": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdNS5----------": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Number=Sing|NumType=Mult,Sets"}, - "CdNS5---------6": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdNS6----------": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Number=Sing|NumType=Mult,Sets"}, - "CdNS6---------6": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdNS7----------": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Number=Sing|NumType=Mult,Sets"}, - "CdNS7---------6": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Number=Sing|NumType=Mult,Sets|Style=Coll"}, - "CdXP1----------": {POS: ADJ, "morph": "Case=Nom|Number=Plur|NumType=Mult,Sets"}, - "CdXP1---------1": {POS: ADJ, "morph": "Case=Nom|Number=Plur|NumType=Mult,Sets"}, - "CdXP2----------": {POS: ADJ, "morph": "Case=Gen|Number=Plur|NumType=Mult,Sets"}, - "CdXP3----------": {POS: ADJ, "morph": "Case=Dat|Number=Plur|NumType=Mult,Sets"}, - "CdXP4----------": {POS: ADJ, "morph": "Case=Acc|Number=Plur|NumType=Mult,Sets"}, - "CdXP4---------1": {POS: ADJ, "morph": "Case=Acc|Number=Plur|NumType=Mult,Sets"}, - "CdXP5----------": {POS: ADJ, "morph": "Case=Voc|Number=Plur|NumType=Mult,Sets"}, - "CdXP5---------1": {POS: ADJ, "morph": "Case=Voc|Number=Plur|NumType=Mult,Sets"}, - "CdXP6----------": {POS: ADJ, "morph": "Case=Loc|Number=Plur|NumType=Mult,Sets"}, - "CdXP7----------": {POS: ADJ, "morph": "Case=Ins|Number=Plur|NumType=Mult,Sets"}, - "CdXS1----------": {POS: ADJ, "morph": "Case=Nom|Number=Sing|NumType=Mult,Sets"}, - "CdXS5----------": {POS: ADJ, "morph": "Case=Voc|Number=Sing|NumType=Mult,Sets"}, - "CdYS2----------": {POS: ADJ, "morph": "Case=Gen|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdYS3----------": {POS: ADJ, "morph": "Case=Dat|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdYS6----------": {POS: ADJ, "morph": "Case=Loc|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "CdYS7----------": {POS: ADJ, "morph": "Case=Ins|Gender=Masc|Number=Sing|NumType=Mult,Sets"}, - "ChFD7----------": {POS: ADJ, "morph": "Case=Ins|Gender=Fem|Number=Dual|NumType=Sets|NumValue=1"}, - "ChFP1----------": {POS: ADJ, "morph": "Case=Nom|Gender=Fem|Number=Plur|NumType=Sets|NumValue=1"}, - "ChFP4----------": {POS: ADJ, "morph": "Case=Acc|Gender=Fem|Number=Plur|NumType=Sets|NumValue=1"}, - "ChFP5----------": {POS: ADJ, "morph": "Case=Voc|Gender=Fem|Number=Plur|NumType=Sets|NumValue=1"}, - "ChIP1----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|NumType=Sets|NumValue=1"}, - "ChIP5----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Plur|NumType=Sets|NumValue=1"}, - "ChMP1----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|NumType=Sets|NumValue=1"}, - "ChMP5----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Plur|NumType=Sets|NumValue=1"}, - "ChNP1----------": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Number=Plur|NumType=Sets|NumValue=1"}, - "ChNP4----------": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Number=Plur|NumType=Sets|NumValue=1"}, - "ChNP5----------": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Number=Plur|NumType=Sets|NumValue=1"}, - "ChXP2----------": {POS: ADJ, "morph": "Case=Gen|Number=Plur|NumType=Sets|NumValue=1"}, - "ChXP3----------": {POS: ADJ, "morph": "Case=Dat|Number=Plur|NumType=Sets|NumValue=1"}, - "ChXP6----------": {POS: ADJ, "morph": "Case=Loc|Number=Plur|NumType=Sets|NumValue=1"}, - "ChXP7----------": {POS: ADJ, "morph": "Case=Ins|Number=Plur|NumType=Sets|NumValue=1"}, - "ChYP4----------": {POS: ADJ, "morph": "Case=Acc|Gender=Masc|Number=Plur|NumType=Sets|NumValue=1"}, - "Cj-S1----------": {POS: NUM, "morph": "Case=Nom|Number=Sing|NumType=Card"}, - "Cj-S2----------": {POS: NUM, "morph": "Case=Gen|Number=Sing|NumType=Card"}, - "Cj-S2---------1": {POS: NUM, "morph": "Case=Gen|Number=Sing|NumType=Card"}, - "Cj-S3----------": {POS: NUM, "morph": "Case=Dat|Number=Sing|NumType=Card"}, - "Cj-S3---------1": {POS: NUM, "morph": "Case=Dat|Number=Sing|NumType=Card"}, - "Cj-S4----------": {POS: NUM, "morph": "Case=Acc|Number=Sing|NumType=Card"}, - "Cj-S5----------": {POS: NUM, "morph": "Case=Voc|Number=Sing|NumType=Card"}, - "Cj-S6----------": {POS: NUM, "morph": "Case=Loc|Number=Sing|NumType=Card"}, - "Cj-S6---------1": {POS: NUM, "morph": "Case=Loc|Number=Sing|NumType=Card"}, - "Cj-S7----------": {POS: NUM, "morph": "Case=Ins|Number=Sing|NumType=Card"}, - "Cj-S7---------1": {POS: NUM, "morph": "Case=Ins|Number=Sing|NumType=Card"}, - "Ck-P1----------": {POS: ADJ, "morph": "Case=Nom|Number=Plur|NumType=Ord"}, - "Ck-P2----------": {POS: ADJ, "morph": "Case=Gen|Number=Plur|NumType=Ord"}, - "Ck-P3----------": {POS: ADJ, "morph": "Case=Dat|Number=Plur|NumType=Ord"}, - "Ck-P4----------": {POS: ADJ, "morph": "Case=Acc|Number=Plur|NumType=Ord"}, - "Ck-P5----------": {POS: ADJ, "morph": "Case=Voc|Number=Plur|NumType=Ord"}, - "Ck-P6----------": {POS: ADJ, "morph": "Case=Loc|Number=Plur|NumType=Ord"}, - "Ck-P7----------": {POS: ADJ, "morph": "Case=Ins|Number=Plur|NumType=Ord"}, - "ClFD7----------": {POS: NUM, "morph": "Case=Ins|Gender=Fem|Number=Dual|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClFD7---------6": {POS: NUM,"morph": "Case=Ins|Gender=Fem|Number=Dual|NumForm=Word|NumType=Card|NumValue=1,2,3|Style=Coll"}, - "ClFD7---------9": {POS: NUM, "morph": "Case=Ins|Gender=Fem|Number=Dual|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClFS1----------": {POS: NUM, "morph": "Case=Nom|Gender=Fem|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClFS2----------": {POS: NUM, "morph": "Case=Gen|Gender=Fem|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClFS3----------": {POS: NUM, "morph": "Case=Dat|Gender=Fem|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClFS4----------": {POS: NUM, "morph": "Case=Acc|Gender=Fem|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClFS5----------": {POS: NUM, "morph": "Case=Voc|Gender=Fem|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClFS6----------": {POS: NUM, "morph": "Case=Loc|Gender=Fem|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClFS7----------": {POS: NUM, "morph": "Case=Ins|Gender=Fem|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClHP1----------": {POS: NUM,"morph": "Case=Nom|Gender=Fem,Neut|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClHP4----------": {POS: NUM,"morph": "Case=Acc|Gender=Fem,Neut|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClHP5----------": {POS: NUM,"morph": "Case=Voc|Gender=Fem,Neut|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClIS4----------": {POS: NUM,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClMS4----------": {POS: NUM,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClNS1----------": {POS: NUM, "morph": "Case=Nom|Gender=Neut|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClNS4----------": {POS: NUM, "morph": "Case=Acc|Gender=Neut|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClNS5----------": {POS: NUM, "morph": "Case=Voc|Gender=Neut|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXP1----------": {POS: NUM, "morph": "Case=Nom|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXP1---------6": {POS: NUM, "morph": "Case=Nom|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3|Style=Coll"}, - "ClXP2----------": {POS: NUM, "morph": "Case=Gen|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXP2---------1": {POS: NUM, "morph": "Case=Gen|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXP2---------6": {POS: NUM, "morph": "Case=Gen|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3|Style=Coll"}, - "ClXP3----------": {POS: NUM, "morph": "Case=Dat|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXP3---------1": {POS: NUM, "morph": "Case=Dat|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXP3---------2": {POS: NUM, "morph": "Case=Dat|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3|Style=Arch"}, - "ClXP3---------6": {POS: NUM, "morph": "Case=Dat|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3|Style=Coll"}, - "ClXP3---------9": {POS: NUM, "morph": "Case=Dat|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXP4----------": {POS: NUM, "morph": "Case=Acc|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXP4---------6": {POS: NUM, "morph": "Case=Acc|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3|Style=Coll"}, - "ClXP5----------": {POS: NUM, "morph": "Case=Voc|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXP5---------6": {POS: NUM, "morph": "Case=Voc|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3|Style=Coll"}, - "ClXP6----------": {POS: NUM, "morph": "Case=Loc|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXP6---------1": {POS: NUM, "morph": "Case=Loc|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXP6---------2": {POS: NUM, "morph": "Case=Loc|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3|Style=Arch"}, - "ClXP6---------6": {POS: NUM, "morph": "Case=Loc|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3|Style=Coll"}, - "ClXP7----------": {POS: NUM, "morph": "Case=Ins|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXP7---------1": {POS: NUM, "morph": "Case=Ins|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXP7---------2": {POS: NUM, "morph": "Case=Ins|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3|Style=Arch"}, - "ClXP7---------6": {POS: NUM, "morph": "Case=Ins|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3|Style=Coll"}, - "ClXP7---------9": {POS: NUM, "morph": "Case=Ins|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXPX----------": {POS: NUM, "morph": "Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXS2----------": {POS: NUM, "morph": "Case=Gen|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXS3----------": {POS: NUM, "morph": "Case=Dat|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXS6----------": {POS: NUM, "morph": "Case=Loc|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXS7----------": {POS: NUM, "morph": "Case=Ins|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClXSX----------": {POS: NUM, "morph": "Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClYP1----------": {POS: NUM, "morph": "Case=Nom|Gender=Masc|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClYP4----------": {POS: NUM, "morph": "Case=Acc|Gender=Masc|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClYP5----------": {POS: NUM, "morph": "Case=Voc|Gender=Masc|Number=Plur|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClYS1----------": {POS: NUM, "morph": "Case=Nom|Gender=Masc|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClYS5----------": {POS: NUM, "morph": "Case=Voc|Gender=Masc|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClZS2----------": {POS: NUM,"morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClZS3----------": {POS: NUM,"morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClZS6----------": {POS: NUM,"morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "ClZS7----------": {POS: NUM,"morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|NumForm=Word|NumType=Card|NumValue=1,2,3"}, - "Cn-P2----------": {POS: NUM, "morph": "Case=Gen|Number=Plur|NumForm=Word|NumType=Card"}, - "Cn-P2---------1": {POS: NUM, "morph": "Case=Gen|Number=Plur|NumForm=Word|NumType=Card"}, - "Cn-P3----------": {POS: NUM, "morph": "Case=Dat|Number=Plur|NumForm=Word|NumType=Card"}, - "Cn-P3---------1": {POS: NUM, "morph": "Case=Dat|Number=Plur|NumForm=Word|NumType=Card"}, - "Cn-P6----------": {POS: NUM, "morph": "Case=Loc|Number=Plur|NumForm=Word|NumType=Card"}, - "Cn-P6---------1": {POS: NUM, "morph": "Case=Loc|Number=Plur|NumForm=Word|NumType=Card"}, - "Cn-P7----------": {POS: NUM, "morph": "Case=Ins|Number=Plur|NumForm=Word|NumType=Card"}, - "Cn-P7---------1": {POS: NUM, "morph": "Case=Ins|Number=Plur|NumForm=Word|NumType=Card"}, - "Cn-S1----------": {POS: NUM, "morph": "Case=Nom|Number=Sing|NumForm=Word|NumType=Card"}, - "Cn-S1---------1": {POS: NUM, "morph": "Case=Nom|Number=Sing|NumForm=Word|NumType=Card"}, - "Cn-S2----------": {POS: NUM, "morph": "Case=Gen|Number=Sing|NumForm=Word|NumType=Card"}, - "Cn-S2---------1": {POS: NUM, "morph": "Case=Gen|Number=Sing|NumForm=Word|NumType=Card"}, - "Cn-S3----------": {POS: NUM, "morph": "Case=Dat|Number=Sing|NumForm=Word|NumType=Card"}, - "Cn-S3---------1": {POS: NUM, "morph": "Case=Dat|Number=Sing|NumForm=Word|NumType=Card"}, - "Cn-S4----------": {POS: NUM, "morph": "Case=Acc|Number=Sing|NumForm=Word|NumType=Card"}, - "Cn-S4---------1": {POS: NUM, "morph": "Case=Acc|Number=Sing|NumForm=Word|NumType=Card"}, - "Cn-S5----------": {POS: NUM, "morph": "Case=Voc|Number=Sing|NumForm=Word|NumType=Card"}, - "Cn-S5---------1": {POS: NUM, "morph": "Case=Voc|Number=Sing|NumForm=Word|NumType=Card"}, - "Cn-S6----------": {POS: NUM, "morph": "Case=Loc|Number=Sing|NumForm=Word|NumType=Card"}, - "Cn-S6---------1": {POS: NUM, "morph": "Case=Loc|Number=Sing|NumForm=Word|NumType=Card"}, - "Cn-S7----------": {POS: NUM, "morph": "Case=Ins|Number=Sing|NumForm=Word|NumType=Card"}, - "Cn-S7---------1": {POS: NUM, "morph": "Case=Ins|Number=Sing|NumForm=Word|NumType=Card"}, - "Cn-SX----------": {POS: NUM, "morph": "Number=Sing|NumForm=Word|NumType=Card"}, - "Cn-XX----------": {POS: NUM, "morph": "NumForm=Word|NumType=Card"}, - "Co-------------": {POS: ADV, "morph": "NumType=Mult|PronType=Dem,Ind"}, - "Co------------1": {POS: ADV, "morph": "NumType=Mult|PronType=Dem,Ind"}, - "CrFD7----------": {POS: ADJ, "morph": "Case=Ins|Gender=Fem|Number=Dual|NumType=Ord"}, - "CrFD7---------6": {POS: ADJ, "morph": "Case=Ins|Gender=Fem|Number=Dual|NumType=Ord|Style=Coll"}, - "CrFP1----------": {POS: ADJ, "morph": "Case=Nom|Gender=Fem|Number=Plur|NumType=Ord"}, - "CrFP1---------6": {POS: ADJ, "morph": "Case=Nom|Gender=Fem|Number=Plur|NumType=Ord|Style=Coll"}, - "CrFP2----------": {POS: ADJ, "morph": "Case=Gen|Gender=Fem|Number=Plur|NumType=Ord"}, - "CrFP2---------6": {POS: ADJ, "morph": "Case=Gen|Gender=Fem|Number=Plur|NumType=Ord|Style=Coll"}, - "CrFP3----------": {POS: ADJ, "morph": "Case=Dat|Gender=Fem|Number=Plur|NumType=Ord"}, - "CrFP3---------6": {POS: ADJ, "morph": "Case=Dat|Gender=Fem|Number=Plur|NumType=Ord|Style=Coll"}, - "CrFP4----------": {POS: ADJ, "morph": "Case=Acc|Gender=Fem|Number=Plur|NumType=Ord"}, - "CrFP4---------6": {POS: ADJ, "morph": "Case=Acc|Gender=Fem|Number=Plur|NumType=Ord|Style=Coll"}, - "CrFP5----------": {POS: ADJ, "morph": "Case=Voc|Gender=Fem|Number=Plur|NumType=Ord"}, - "CrFP5---------6": {POS: ADJ, "morph": "Case=Voc|Gender=Fem|Number=Plur|NumType=Ord|Style=Coll"}, - "CrFP6----------": {POS: ADJ, "morph": "Case=Loc|Gender=Fem|Number=Plur|NumType=Ord"}, - "CrFP6---------6": {POS: ADJ, "morph": "Case=Loc|Gender=Fem|Number=Plur|NumType=Ord|Style=Coll"}, - "CrFP7----------": {POS: ADJ, "morph": "Case=Ins|Gender=Fem|Number=Plur|NumType=Ord"}, - "CrFP7---------6": {POS: ADJ, "morph": "Case=Ins|Gender=Fem|Number=Plur|NumType=Ord|Style=Coll"}, - "CrFP7---------7": {POS: ADJ, "morph": "Case=Ins|Gender=Fem|Number=Plur|NumType=Ord|Style=Coll"}, - "CrFS1----------": {POS: ADJ, "morph": "Case=Nom|Gender=Fem|Number=Sing|NumType=Ord"}, - "CrFS2----------": {POS: ADJ, "morph": "Case=Gen|Gender=Fem|Number=Sing|NumType=Ord"}, - "CrFS2---------6": {POS: ADJ, "morph": "Case=Gen|Gender=Fem|Number=Sing|NumType=Ord|Style=Coll"}, - "CrFS3----------": {POS: ADJ, "morph": "Case=Dat|Gender=Fem|Number=Sing|NumType=Ord"}, - "CrFS3---------6": {POS: ADJ, "morph": "Case=Dat|Gender=Fem|Number=Sing|NumType=Ord|Style=Coll"}, - "CrFS4----------": {POS: ADJ, "morph": "Case=Acc|Gender=Fem|Number=Sing|NumType=Ord"}, - "CrFS5----------": {POS: ADJ, "morph": "Case=Voc|Gender=Fem|Number=Sing|NumType=Ord"}, - "CrFS6----------": {POS: ADJ, "morph": "Case=Loc|Gender=Fem|Number=Sing|NumType=Ord"}, - "CrFS6---------6": {POS: ADJ, "morph": "Case=Loc|Gender=Fem|Number=Sing|NumType=Ord|Style=Coll"}, - "CrFS7----------": {POS: ADJ, "morph": "Case=Ins|Gender=Fem|Number=Sing|NumType=Ord"}, - "CrIP1----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|NumType=Ord"}, - "CrIP1---------6": {POS: ADJ, "morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrIP2----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Gen|Gender=Masc|Number=Plur|NumType=Ord"}, - "CrIP2---------6": {POS: ADJ, "morph": "Animacy=Inan|Case=Gen|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrIP3----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Dat|Gender=Masc|Number=Plur|NumType=Ord"}, - "CrIP3---------6": {POS: ADJ, "morph": "Animacy=Inan|Case=Dat|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrIP4----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Plur|NumType=Ord"}, - "CrIP4---------6": {POS: ADJ, "morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrIP5----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Plur|NumType=Ord"}, - "CrIP5---------6": {POS: ADJ, "morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrIP6----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Loc|Gender=Masc|Number=Plur|NumType=Ord"}, - "CrIP6---------6": {POS: ADJ, "morph": "Animacy=Inan|Case=Loc|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrIP7----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Ins|Gender=Masc|Number=Plur|NumType=Ord"}, - "CrIP7---------6": {POS: ADJ, "morph": "Animacy=Inan|Case=Ins|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrIP7---------7": {POS: ADJ, "morph": "Animacy=Inan|Case=Ins|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrIS1----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Sing|NumType=Ord"}, - "CrIS1---------6": {POS: ADJ, "morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrIS2----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Gen|Gender=Masc|Number=Sing|NumType=Ord"}, - "CrIS2---------6": {POS: ADJ, "morph": "Animacy=Inan|Case=Gen|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrIS3----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Dat|Gender=Masc|Number=Sing|NumType=Ord"}, - "CrIS3---------6": {POS: ADJ, "morph": "Animacy=Inan|Case=Dat|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrIS4----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|NumType=Ord"}, - "CrIS4---------6": {POS: ADJ, "morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrIS5----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Sing|NumType=Ord"}, - "CrIS5---------6": {POS: ADJ, "morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrIS6----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Loc|Gender=Masc|Number=Sing|NumType=Ord"}, - "CrIS6---------6": {POS: ADJ, "morph": "Animacy=Inan|Case=Loc|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrIS6---------7": {POS: ADJ, "morph": "Animacy=Inan|Case=Loc|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrIS7----------": {POS: ADJ, "morph": "Animacy=Inan|Case=Ins|Gender=Masc|Number=Sing|NumType=Ord"}, - "CrIS7---------6": {POS: ADJ, "morph": "Animacy=Inan|Case=Ins|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrMP1----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|NumType=Ord"}, - "CrMP1---------6": {POS: ADJ, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrMP2----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Gen|Gender=Masc|Number=Plur|NumType=Ord"}, - "CrMP2---------6": {POS: ADJ, "morph": "Animacy=Anim|Case=Gen|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrMP3----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Dat|Gender=Masc|Number=Plur|NumType=Ord"}, - "CrMP3---------6": {POS: ADJ, "morph": "Animacy=Anim|Case=Dat|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrMP4----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Plur|NumType=Ord"}, - "CrMP4---------6": {POS: ADJ, "morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrMP5----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Plur|NumType=Ord"}, - "CrMP5---------6": {POS: ADJ, "morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrMP6----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Loc|Gender=Masc|Number=Plur|NumType=Ord"}, - "CrMP6---------6": {POS: ADJ, "morph": "Animacy=Anim|Case=Loc|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrMP7----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Ins|Gender=Masc|Number=Plur|NumType=Ord"}, - "CrMP7---------6": {POS: ADJ, "morph": "Animacy=Anim|Case=Ins|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrMP7---------7": {POS: ADJ, "morph": "Animacy=Anim|Case=Ins|Gender=Masc|Number=Plur|NumType=Ord|Style=Coll"}, - "CrMS1----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Sing|NumType=Ord"}, - "CrMS1---------6": {POS: ADJ, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrMS2----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Gen|Gender=Masc|Number=Sing|NumType=Ord"}, - "CrMS2---------6": {POS: ADJ, "morph": "Animacy=Anim|Case=Gen|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrMS3----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Dat|Gender=Masc|Number=Sing|NumType=Ord"}, - "CrMS3---------6": {POS: ADJ, "morph": "Animacy=Anim|Case=Dat|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrMS4----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|NumType=Ord"}, - "CrMS4---------6": {POS: ADJ, "morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrMS5----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Sing|NumType=Ord"}, - "CrMS5---------6": {POS: ADJ, "morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrMS6----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Loc|Gender=Masc|Number=Sing|NumType=Ord"}, - "CrMS6---------6": {POS: ADJ, "morph": "Animacy=Anim|Case=Loc|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrMS6---------7": {POS: ADJ, "morph": "Animacy=Anim|Case=Loc|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrMS7----------": {POS: ADJ, "morph": "Animacy=Anim|Case=Ins|Gender=Masc|Number=Sing|NumType=Ord"}, - "CrMS7---------6": {POS: ADJ, "morph": "Animacy=Anim|Case=Ins|Gender=Masc|Number=Sing|NumType=Ord|Style=Coll"}, - "CrND7----------": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Number=Dual|NumType=Ord"}, - "CrNP1----------": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Number=Plur|NumType=Ord"}, - "CrNP1---------6": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Number=Plur|NumType=Ord|Style=Coll"}, - "CrNP2----------": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Number=Plur|NumType=Ord"}, - "CrNP2---------6": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Number=Plur|NumType=Ord|Style=Coll"}, - "CrNP3----------": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Number=Plur|NumType=Ord"}, - "CrNP3---------6": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Number=Plur|NumType=Ord|Style=Coll"}, - "CrNP4----------": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Number=Plur|NumType=Ord"}, - "CrNP4---------6": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Number=Plur|NumType=Ord|Style=Coll"}, - "CrNP5----------": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Number=Plur|NumType=Ord"}, - "CrNP5---------6": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Number=Plur|NumType=Ord|Style=Coll"}, - "CrNP6----------": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Number=Plur|NumType=Ord"}, - "CrNP6---------6": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Number=Plur|NumType=Ord|Style=Coll"}, - "CrNP7----------": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Number=Plur|NumType=Ord"}, - "CrNP7---------6": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Number=Plur|NumType=Ord|Style=Coll"}, - "CrNP7---------7": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Number=Plur|NumType=Ord|Style=Coll"}, - "CrNS1----------": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Number=Sing|NumType=Ord"}, - "CrNS1---------6": {POS: ADJ, "morph": "Case=Nom|Gender=Neut|Number=Sing|NumType=Ord|Style=Coll"}, - "CrNS2----------": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Number=Sing|NumType=Ord"}, - "CrNS2---------6": {POS: ADJ, "morph": "Case=Gen|Gender=Neut|Number=Sing|NumType=Ord|Style=Coll"}, - "CrNS3----------": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Number=Sing|NumType=Ord"}, - "CrNS3---------6": {POS: ADJ, "morph": "Case=Dat|Gender=Neut|Number=Sing|NumType=Ord|Style=Coll"}, - "CrNS4----------": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Number=Sing|NumType=Ord"}, - "CrNS4---------6": {POS: ADJ, "morph": "Case=Acc|Gender=Neut|Number=Sing|NumType=Ord|Style=Coll"}, - "CrNS5----------": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Number=Sing|NumType=Ord"}, - "CrNS5---------6": {POS: ADJ, "morph": "Case=Voc|Gender=Neut|Number=Sing|NumType=Ord|Style=Coll"}, - "CrNS6----------": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Number=Sing|NumType=Ord"}, - "CrNS6---------6": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Number=Sing|NumType=Ord|Style=Coll"}, - "CrNS6---------7": {POS: ADJ, "morph": "Case=Loc|Gender=Neut|Number=Sing|NumType=Ord|Style=Coll"}, - "CrNS7----------": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Number=Sing|NumType=Ord"}, - "CrNS7---------6": {POS: ADJ, "morph": "Case=Ins|Gender=Neut|Number=Sing|NumType=Ord|Style=Coll"}, - "CrXXX----------": {POS: ADJ, "morph": "NumType=Ord"}, - "Cu-------------": {POS: ADV, "morph": "NumType=Mult|PronType=Int,Rel"}, - "Cv-------------": {POS: ADV, "morph": "NumType=Mult"}, - "Cv------------1": {POS: ADV, "morph": "NumType=Mult"}, - "Cv------------6": {POS: ADV, "morph": "NumType=Mult|Style=Coll"}, - "CwFD7----------": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Dual|NumType=Ord|PronType=Dem,Ind"}, - "CwFP1----------": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Plur|NumType=Ord|PronType=Dem,Ind"}, - "CwFP4----------": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Plur|NumType=Ord|PronType=Dem,Ind"}, - "CwFP5----------": {POS: DET, "morph": "Case=Voc|Gender=Fem|Number=Plur|NumType=Ord|PronType=Dem,Ind"}, - "CwFS1----------": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwFS2----------": {POS: DET, "morph": "Case=Gen|Gender=Fem|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwFS3----------": {POS: DET, "morph": "Case=Dat|Gender=Fem|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwFS4----------": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwFS5----------": {POS: DET, "morph": "Case=Voc|Gender=Fem|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwFS6----------": {POS: DET, "morph": "Case=Loc|Gender=Fem|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwFS7----------": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwIP1----------": {POS: DET,"morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|NumType=Ord|PronType=Dem,Ind"}, - "CwIP5----------": {POS: DET,"morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Plur|NumType=Ord|PronType=Dem,Ind"}, - "CwIS4----------": {POS: DET,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwMP1----------": {POS: DET,"morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|NumType=Ord|PronType=Dem,Ind"}, - "CwMP5----------": {POS: DET,"morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Plur|NumType=Ord|PronType=Dem,Ind"}, - "CwMS4----------": {POS: DET,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwNP1----------": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Plur|NumType=Ord|PronType=Dem,Ind"}, - "CwNP4----------": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Plur|NumType=Ord|PronType=Dem,Ind"}, - "CwNP5----------": {POS: DET, "morph": "Case=Voc|Gender=Neut|Number=Plur|NumType=Ord|PronType=Dem,Ind"}, - "CwNS1----------": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwNS4----------": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwNS5----------": {POS: DET, "morph": "Case=Voc|Gender=Neut|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwXP2----------": {POS: DET, "morph": "Case=Gen|Number=Plur|NumType=Ord|PronType=Dem,Ind"}, - "CwXP3----------": {POS: DET, "morph": "Case=Dat|Number=Plur|NumType=Ord|PronType=Dem,Ind"}, - "CwXP6----------": {POS: DET, "morph": "Case=Loc|Number=Plur|NumType=Ord|PronType=Dem,Ind"}, - "CwXP7----------": {POS: DET, "morph": "Case=Ins|Number=Plur|NumType=Ord|PronType=Dem,Ind"}, - "CwYP4----------": {POS: DET, "morph": "Case=Acc|Gender=Masc|Number=Plur|NumType=Ord|PronType=Dem,Ind"}, - "CwYS1----------": {POS: DET, "morph": "Case=Nom|Gender=Masc|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwYS5----------": {POS: DET, "morph": "Case=Voc|Gender=Masc|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwZS2----------": {POS: DET, "morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwZS3----------": {POS: DET, "morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwZS6----------": {POS: DET, "morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CwZS7----------": {POS: DET, "morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|NumType=Ord|PronType=Dem,Ind"}, - "CyFP1----------": {POS: NUM, "morph": "Case=Nom|Gender=Fem|Number=Plur|NumType=Frac"}, - "CyFP2----------": {POS: NUM, "morph": "Case=Gen|Gender=Fem|Number=Plur|NumType=Frac"}, - "CyFP3----------": {POS: NUM, "morph": "Case=Dat|Gender=Fem|Number=Plur|NumType=Frac"}, - "CyFP4----------": {POS: NUM, "morph": "Case=Acc|Gender=Fem|Number=Plur|NumType=Frac"}, - "CyFP5----------": {POS: NUM, "morph": "Case=Voc|Gender=Fem|Number=Plur|NumType=Frac"}, - "CyFP6----------": {POS: NUM, "morph": "Case=Loc|Gender=Fem|Number=Plur|NumType=Frac"}, - "CyFP7----------": {POS: NUM, "morph": "Case=Ins|Gender=Fem|Number=Plur|NumType=Frac"}, - "CyFP7---------6": {POS: NUM, "morph": "Case=Ins|Gender=Fem|Number=Plur|NumType=Frac|Style=Coll"}, - "CyFS1----------": {POS: NUM, "morph": "Case=Nom|Gender=Fem|Number=Sing|NumType=Frac"}, - "CyFS2----------": {POS: NUM, "morph": "Case=Gen|Gender=Fem|Number=Sing|NumType=Frac"}, - "CyFS3----------": {POS: NUM, "morph": "Case=Dat|Gender=Fem|Number=Sing|NumType=Frac"}, - "CyFS4----------": {POS: NUM, "morph": "Case=Acc|Gender=Fem|Number=Sing|NumType=Frac"}, - "CyFS5----------": {POS: NUM, "morph": "Case=Voc|Gender=Fem|Number=Sing|NumType=Frac"}, - "CyFS6----------": {POS: NUM, "morph": "Case=Loc|Gender=Fem|Number=Sing|NumType=Frac"}, - "CyFS7----------": {POS: NUM, "morph": "Case=Ins|Gender=Fem|Number=Sing|NumType=Frac"}, - "CzFD7----------": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Dual|NumType=Ord|PronType=Int,Rel"}, - "CzFP1----------": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Plur|NumType=Ord|PronType=Int,Rel"}, - "CzFP4----------": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Plur|NumType=Ord|PronType=Int,Rel"}, - "CzFS1----------": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Sing|NumType=Ord|PronType=Int,Rel"}, - "CzFS2----------": {POS: DET, "morph": "Case=Gen|Gender=Fem|Number=Sing|NumType=Ord|PronType=Int,Rel"}, - "CzFS3----------": {POS: DET, "morph": "Case=Dat|Gender=Fem|Number=Sing|NumType=Ord|PronType=Int,Rel"}, - "CzFS4----------": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Sing|NumType=Ord|PronType=Int,Rel"}, - "CzFS6----------": {POS: DET, "morph": "Case=Loc|Gender=Fem|Number=Sing|NumType=Ord|PronType=Int,Rel"}, - "CzFS7----------": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Sing|NumType=Ord|PronType=Int,Rel"}, - "CzIP1----------": {POS: DET,"morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|NumType=Ord|PronType=Int,Rel"}, - "CzIS4----------": {POS: DET,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|NumType=Ord|PronType=Int,Rel"}, - "CzMP1----------": {POS: DET,"morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|NumType=Ord|PronType=Int,Rel"}, - "CzMS4----------": {POS: DET,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|NumType=Ord|PronType=Int,Rel"}, - "CzNP1----------": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Plur|NumType=Ord|PronType=Int,Rel"}, - "CzNP4----------": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Plur|NumType=Ord|PronType=Int,Rel"}, - "CzNS1----------": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Sing|NumType=Ord|PronType=Int,Rel"}, - "CzNS4----------": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Sing|NumType=Ord|PronType=Int,Rel"}, - "CzXP2----------": {POS: DET, "morph": "Case=Gen|Number=Plur|NumType=Ord|PronType=Int,Rel"}, - "CzXP3----------": {POS: DET, "morph": "Case=Dat|Number=Plur|NumType=Ord|PronType=Int,Rel"}, - "CzXP6----------": {POS: DET, "morph": "Case=Loc|Number=Plur|NumType=Ord|PronType=Int,Rel"}, - "CzXP7----------": {POS: DET, "morph": "Case=Ins|Number=Plur|NumType=Ord|PronType=Int,Rel"}, - "CzYP4----------": {POS: DET, "morph": "Case=Acc|Gender=Masc|Number=Plur|NumType=Ord|PronType=Int,Rel"}, - "CzYS1----------": {POS: DET, "morph": "Case=Nom|Gender=Masc|Number=Sing|NumType=Ord|PronType=Int,Rel"}, - "CzZS2----------": {POS: DET, "morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|NumType=Ord|PronType=Int,Rel"}, - "CzZS3----------": {POS: DET, "morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|NumType=Ord|PronType=Int,Rel"}, - "CzZS6----------": {POS: DET, "morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|NumType=Ord|PronType=Int,Rel"}, - "CzZS7----------": {POS: DET, "morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|NumType=Ord|PronType=Int,Rel"}, - "D!-------------": {POS: ADV, "morph": "Abbr=Yes"}, - "Db-------------": {POS: ADV, "morph": "_"}, - "Db------------1": {POS: ADV, "morph": "_"}, - "Db------------2": {POS: ADV, "morph": "Style=Arch"}, - "Db------------4": {POS: ADV, "morph": "Style=Arch"}, - "Db------------6": {POS: ADV, "morph": "Style=Coll"}, - "Db------------7": {POS: ADV, "morph": "Style=Coll"}, - "Db------------8": {POS: ADV, "morph": "Abbr=Yes"}, - "Db------------9": {POS: ADV, "morph": "_"}, - "Db--------A----": {POS: ADV, "morph": "Polarity=Pos"}, - "Db--------N----": {POS: ADV, "morph": "Polarity=Neg"}, - "Dg-------1A----": {POS: ADV, "morph": "Degree=Pos|Polarity=Pos"}, - "Dg-------1A---1": {POS: ADV, "morph": "Degree=Pos|Polarity=Pos"}, - "Dg-------1A---3": {POS: ADV, "morph": "Degree=Pos|Polarity=Pos|Style=Arch"}, - "Dg-------1A---8": {POS: ADV, "morph": "Abbr=Yes|Degree=Pos|Polarity=Pos"}, - "Dg-------1N----": {POS: ADV, "morph": "Degree=Pos|Polarity=Neg"}, - 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"NNNS7-----N---1": {POS: NOUN, "morph": "Case=Ins|Gender=Neut|Number=Sing|Polarity=Neg"}, - "NNNS7-----N---2": {POS: NOUN, "morph": "Case=Ins|Gender=Neut|Number=Sing|Polarity=Neg|Style=Arch"}, - "NNNS7-----N---6": {POS: NOUN, "morph": "Case=Ins|Gender=Neut|Number=Sing|Polarity=Neg|Style=Coll"}, - "NNNS7-----N---8": {POS: NOUN, "morph": "Abbr=Yes|Case=Ins|Gender=Neut|Number=Sing|Polarity=Neg"}, - "NNNSX-----A----": {POS: NOUN, "morph": "Gender=Neut|Number=Sing|Polarity=Pos"}, - "NNNSX-----A---8": {POS: NOUN, "morph": "Abbr=Yes|Gender=Neut|Number=Sing|Polarity=Pos"}, - "NNNSX-----N----": {POS: NOUN, "morph": "Gender=Neut|Number=Sing|Polarity=Neg"}, - "NNNSX-----N---8": {POS: NOUN, "morph": "Abbr=Yes|Gender=Neut|Number=Sing|Polarity=Neg"}, - "NNNXX-----A----": {POS: NOUN, "morph": "Gender=Neut|Polarity=Pos"}, - "NNNXX-----A---1": {POS: NOUN, "morph": "Gender=Neut|Polarity=Pos"}, - "NNNXX-----A---2": {POS: NOUN, "morph": "Gender=Neut|Polarity=Pos|Style=Arch"}, - "NNNXX-----A---8": {POS: NOUN, "morph": "Abbr=Yes|Gender=Neut|Polarity=Pos"}, - "NNNXX-----A---9": {POS: NOUN, "morph": "Gender=Neut|Polarity=Pos"}, - "NNNXX-----N----": {POS: NOUN, "morph": "Gender=Neut|Polarity=Neg"}, - "NNNXX-----N---1": {POS: NOUN, "morph": "Gender=Neut|Polarity=Neg"}, - "NNNXX-----N---2": {POS: NOUN, "morph": "Gender=Neut|Polarity=Neg|Style=Arch"}, - "NNNXX-----N---8": {POS: NOUN, "morph": "Abbr=Yes|Gender=Neut|Polarity=Neg"}, - "NNNXX-----N---9": {POS: NOUN, "morph": "Gender=Neut|Polarity=Neg"}, - "NNXPX-----A----": {POS: NOUN, "morph": "Number=Plur|Polarity=Pos"}, - "NNXPX-----N----": {POS: NOUN, "morph": "Number=Plur|Polarity=Neg"}, - "NNXSX-----A----": {POS: NOUN, "morph": "Number=Sing|Polarity=Pos"}, - "NNXSX-----N----": {POS: NOUN, "morph": "Number=Sing|Polarity=Neg"}, - "NNXXX-----A----": {POS: NOUN, "morph": "Polarity=Pos"}, - "NNXXX-----A---8": {POS: NOUN, "morph": "Abbr=Yes|Polarity=Pos"}, - "NNXXX-----N----": {POS: NOUN, "morph": "Polarity=Neg"}, - "NNXXX-----N---8": {POS: NOUN, "morph": "Abbr=Yes|Polarity=Neg"}, - "P0-------------": {POS: PRON, "morph": "AdpType=Preppron|PronType=Prs"}, - "P1FD7FS3-------": {POS: DET,"morph": "Case=Ins|Gender=Fem|Gender[psor]=Fem|Number=Dual|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1FD7FS3------2": {POS: DET,"morph": "Case=Ins|Gender=Fem|Gender[psor]=Fem|Number=Dual|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1FSXFS3-------": {POS: DET,"morph": "Gender=Fem|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1FSXFS3------2": {POS: DET,"morph": "Gender=Fem|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1IS4FS3-------": {POS: DET,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1IS4FS3------2": {POS: DET,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1MS4FS3-------": {POS: DET,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1MS4FS3------2": {POS: DET,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1NS4FS3-------": {POS: DET,"morph": "Case=Acc|Gender=Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1NS4FS3------2": {POS: DET,"morph": "Case=Acc|Gender=Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1XP1FS3-------": {POS: DET,"morph": "Case=Nom|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1XP1FS3------2": {POS: DET,"morph": "Case=Nom|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1XP2FS3-------": {POS: DET,"morph": "Case=Gen|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1XP2FS3------2": {POS: DET,"morph": "Case=Gen|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1XP3FS3-------": {POS: DET,"morph": "Case=Dat|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1XP3FS3------2": {POS: DET,"morph": "Case=Dat|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1XP4FS3-------": {POS: DET,"morph": "Case=Acc|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1XP4FS3------2": {POS: DET,"morph": "Case=Acc|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1XP6FS3-------": {POS: DET,"morph": "Case=Loc|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1XP6FS3------2": {POS: DET,"morph": "Case=Loc|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1XP7FS3-------": {POS: DET,"morph": "Case=Ins|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1XP7FS3------2": {POS: DET,"morph": "Case=Ins|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1XXXXP3-------": {POS: DET, "morph": "Number[psor]=Plur|Person=3|Poss=Yes|PronType=Rel"}, - "P1XXXXP3------2": {POS: DET, "morph": "Number[psor]=Plur|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1XXXZS3-------": {POS: DET, "morph": "Gender[psor]=Masc,Neut|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1XXXZS3------2": {POS: DET,"morph": "Gender[psor]=Masc,Neut|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1ZS1FS3-------": {POS: DET,"morph": "Case=Nom|Gender=Masc,Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1ZS1FS3------2": {POS: DET,"morph": "Case=Nom|Gender=Masc,Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1ZS2FS3-------": {POS: DET,"morph": "Case=Gen|Gender=Masc,Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1ZS2FS3------2": {POS: DET,"morph": "Case=Gen|Gender=Masc,Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1ZS3FS3-------": {POS: DET,"morph": "Case=Dat|Gender=Masc,Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1ZS3FS3------2": {POS: DET,"morph": "Case=Dat|Gender=Masc,Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1ZS6FS3-------": {POS: DET,"morph": "Case=Loc|Gender=Masc,Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1ZS6FS3------2": {POS: DET,"morph": "Case=Loc|Gender=Masc,Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P1ZS7FS3-------": {POS: DET,"morph": "Case=Ins|Gender=Masc,Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel"}, - "P1ZS7FS3------2": {POS: DET,"morph": "Case=Ins|Gender=Masc,Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Rel|Style=Arch"}, - "P4FD7----------": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Dual|PronType=Int,Rel"}, - "P4FD7---------6": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Dual|PronType=Int,Rel|Style=Coll"}, - "P4FP1----------": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Plur|PronType=Int,Rel"}, - "P4FP1---------6": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Plur|PronType=Int,Rel|Style=Coll"}, - "P4FP4----------": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Plur|PronType=Int,Rel"}, - "P4FP4---------6": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Plur|PronType=Int,Rel|Style=Coll"}, - "P4FS1----------": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Sing|PronType=Int,Rel"}, - "P4FS1---------3": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Sing|PronType=Int,Rel|Style=Arch"}, - "P4FS1---------6": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Sing|PronType=Int,Rel|Style=Coll"}, - "P4FS2----------": {POS: DET, "morph": "Case=Gen|Gender=Fem|Number=Sing|PronType=Int,Rel"}, - "P4FS2---------6": {POS: DET, "morph": "Case=Gen|Gender=Fem|Number=Sing|PronType=Int,Rel|Style=Coll"}, - "P4FS3----------": {POS: DET, "morph": "Case=Dat|Gender=Fem|Number=Sing|PronType=Int,Rel"}, - "P4FS3---------6": {POS: DET, "morph": "Case=Dat|Gender=Fem|Number=Sing|PronType=Int,Rel|Style=Coll"}, - "P4FS4----------": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Sing|PronType=Int,Rel"}, - "P4FS4---------6": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Sing|PronType=Int,Rel|Style=Coll"}, - "P4FS6----------": {POS: DET, "morph": "Case=Loc|Gender=Fem|Number=Sing|PronType=Int,Rel"}, - "P4FS6---------6": {POS: DET, "morph": "Case=Loc|Gender=Fem|Number=Sing|PronType=Int,Rel|Style=Coll"}, - "P4FS7----------": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Sing|PronType=Int,Rel"}, - "P4FS7---------6": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Sing|PronType=Int,Rel|Style=Coll"}, - "P4IP1----------": {POS: DET, "morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|PronType=Int,Rel"}, - "P4IP1---------6": {POS: DET, "morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|PronType=Int,Rel|Style=Coll"}, - "P4IS4----------": {POS: DET, "morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|PronType=Int,Rel"}, - "P4IS4---------6": {POS: DET, "morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|PronType=Int,Rel|Style=Coll"}, - "P4MP1----------": {POS: DET, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|PronType=Int,Rel"}, - "P4MP1---------6": {POS: DET, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|PronType=Int,Rel|Style=Coll"}, - "P4MS4----------": {POS: DET, "morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|PronType=Int,Rel"}, - "P4MS4---------6": {POS: DET, "morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|PronType=Int,Rel|Style=Coll"}, - "P4NP1----------": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Plur|PronType=Int,Rel"}, - "P4NP1---------6": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Plur|PronType=Int,Rel|Style=Coll"}, - "P4NP1---------7": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Plur|PronType=Int,Rel|Style=Coll"}, - "P4NP4----------": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Plur|PronType=Int,Rel"}, - "P4NP4---------6": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Plur|PronType=Int,Rel|Style=Coll"}, - "P4NS1----------": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Sing|PronType=Int,Rel"}, - "P4NS1---------6": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Sing|PronType=Int,Rel|Style=Coll"}, - "P4NS4----------": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Sing|PronType=Int,Rel"}, - "P4NS4---------6": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Sing|PronType=Int,Rel|Style=Coll"}, - "P4XD7----------": {POS: DET, "morph": "Case=Ins|Number=Dual|PronType=Int,Rel"}, - "P4XP2----------": {POS: DET, "morph": "Case=Gen|Number=Plur|PronType=Int,Rel"}, - "P4XP2---------6": {POS: DET, "morph": "Case=Gen|Number=Plur|PronType=Int,Rel|Style=Coll"}, - "P4XP3----------": {POS: DET, "morph": "Case=Dat|Number=Plur|PronType=Int,Rel"}, - "P4XP3---------6": {POS: DET, "morph": "Case=Dat|Number=Plur|PronType=Int,Rel|Style=Coll"}, - "P4XP6----------": {POS: DET, "morph": "Case=Loc|Number=Plur|PronType=Int,Rel"}, - "P4XP6---------6": {POS: DET, "morph": "Case=Loc|Number=Plur|PronType=Int,Rel|Style=Coll"}, - "P4XP7----------": {POS: DET, "morph": "Case=Ins|Number=Plur|PronType=Int,Rel"}, - "P4XP7---------6": {POS: DET, "morph": "Case=Ins|Number=Plur|PronType=Int,Rel|Style=Coll"}, - "P4XP7---------7": {POS: DET, "morph": "Case=Ins|Number=Plur|PronType=Int,Rel|Style=Coll"}, - "P4XXX----------": {POS: DET, "morph": "PronType=Int,Rel"}, - "P4YP4----------": {POS: DET, "morph": "Case=Acc|Gender=Masc|Number=Plur|PronType=Int,Rel"}, - "P4YP4---------6": {POS: DET, "morph": "Case=Acc|Gender=Masc|Number=Plur|PronType=Int,Rel|Style=Coll"}, - "P4YS1----------": {POS: DET, "morph": "Case=Nom|Gender=Masc|Number=Sing|PronType=Int,Rel"}, - "P4YS1---------3": {POS: DET, "morph": "Case=Nom|Gender=Masc|Number=Sing|PronType=Int,Rel|Style=Arch"}, - "P4YS1---------6": {POS: DET, "morph": "Case=Nom|Gender=Masc|Number=Sing|PronType=Int,Rel|Style=Coll"}, - "P4ZS2----------": {POS: DET, "morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|PronType=Int,Rel"}, - "P4ZS2---------6": {POS: DET, "morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|PronType=Int,Rel|Style=Coll"}, - "P4ZS3----------": {POS: DET, "morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|PronType=Int,Rel"}, - "P4ZS3---------6": {POS: DET, "morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|PronType=Int,Rel|Style=Coll"}, - "P4ZS6----------": {POS: DET, "morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|PronType=Int,Rel"}, - "P4ZS6---------6": {POS: DET, "morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|PronType=Int,Rel|Style=Coll"}, - "P4ZS7----------": {POS: DET, "morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|PronType=Int,Rel"}, - "P4ZS7---------6": {POS: DET, "morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|PronType=Int,Rel|Style=Coll"}, - "P5FS2--3-------": {POS: PRON, "morph": "Case=Gen|Gender=Fem|Number=Sing|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5FS3--3-------": {POS: PRON, "morph": "Case=Dat|Gender=Fem|Number=Sing|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5FS4--3-------": {POS: PRON, "morph": "Case=Acc|Gender=Fem|Number=Sing|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5FS4--3------6": {POS: PRON,"morph": "Case=Acc|Gender=Fem|Number=Sing|Person=3|PrepCase=Pre|PronType=Prs|Style=Coll"}, - "P5FS6--3-------": {POS: PRON, "morph": "Case=Loc|Gender=Fem|Number=Sing|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5FS7--3-------": {POS: PRON, "morph": "Case=Ins|Gender=Fem|Number=Sing|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5NS4--3-------": {POS: PRON, "morph": "Case=Acc|Gender=Neut|Number=Sing|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5XP2--3-------": {POS: PRON, "morph": "Case=Gen|Number=Plur|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5XP3--3-------": {POS: PRON, "morph": "Case=Dat|Number=Plur|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5XP4--3-------": {POS: PRON, "morph": "Case=Acc|Number=Plur|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5XP6--3-------": {POS: PRON, "morph": "Case=Loc|Number=Plur|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5XP7--3-------": {POS: PRON, "morph": "Case=Ins|Number=Plur|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5ZS2--3-------": {POS: PRON, "morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5ZS2--3------1": {POS: PRON, "morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5ZS3--3-------": {POS: PRON, "morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5ZS4--3-------": {POS: PRON, "morph": "Case=Acc|Gender=Masc,Neut|Number=Sing|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5ZS4--3------1": {POS: PRON, "morph": "Case=Acc|Gender=Masc,Neut|Number=Sing|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5ZS6--3-------": {POS: PRON, "morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|Person=3|PrepCase=Pre|PronType=Prs"}, - "P5ZS7--3-------": {POS: PRON, "morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|Person=3|PrepCase=Pre|PronType=Prs"}, - "P6-X2----------": {POS: PRON, "morph": "Case=Gen|PronType=Prs|Reflex=Yes"}, - "P6-X3----------": {POS: PRON, "morph": "Case=Dat|PronType=Prs|Reflex=Yes"}, - "P6-X4----------": {POS: PRON, "morph": "Case=Acc|PronType=Prs|Reflex=Yes"}, - "P6-X6----------": {POS: PRON, "morph": "Case=Loc|PronType=Prs|Reflex=Yes"}, - "P6-X7----------": {POS: PRON, "morph": "Case=Ins|PronType=Prs|Reflex=Yes"}, - "P7-S3----------": {POS: PRON, "morph": "Case=Dat|Number=Sing|PronType=Prs|Reflex=Yes|Variant=Short"}, - "P7-S3--2-------": {POS: PRON, "morph": "Case=Dat|Number=Sing|Person=2|PronType=Prs|Reflex=Yes|Variant=Short"}, - "P7-S4----------": {POS: PRON, "morph": "Case=Acc|Number=Sing|PronType=Prs|Reflex=Yes|Variant=Short"}, - "P7-S4--2-------": {POS: PRON, "morph": "Case=Acc|Number=Sing|Person=2|PronType=Prs|Reflex=Yes|Variant=Short"}, - "P7-X3----------": {POS: PRON, "morph": "Case=Dat|PronType=Prs|Reflex=Yes|Variant=Short"}, - "P7-X4----------": {POS: PRON, "morph": "Case=Acc|PronType=Prs|Reflex=Yes|Variant=Short"}, - "P8FD7----------": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Dual|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8FD7---------6": {POS: DET,"morph": "Case=Ins|Gender=Fem|Number=Dual|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8FP1---------1": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8FP4---------1": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8FS1---------1": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8FS2----------": {POS: DET, "morph": "Case=Gen|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8FS2---------1": {POS: DET, "morph": "Case=Gen|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8FS2---------6": {POS: DET,"morph": "Case=Gen|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8FS3----------": {POS: DET, "morph": "Case=Dat|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8FS3---------1": {POS: DET, "morph": "Case=Dat|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8FS3---------6": {POS: DET,"morph": "Case=Dat|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8FS4----------": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8FS4---------1": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8FS4---------6": {POS: DET,"morph": "Case=Acc|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8FS5---------1": {POS: DET, "morph": "Case=Voc|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8FS6----------": {POS: DET, "morph": "Case=Loc|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8FS6---------1": {POS: DET, "morph": "Case=Loc|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8FS6---------6": {POS: DET,"morph": "Case=Loc|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8FS7----------": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8FS7---------1": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8HP1----------": {POS: DET, "morph": "Case=Nom|Gender=Fem,Neut|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8HP5----------": {POS: DET, "morph": "Case=Voc|Gender=Fem,Neut|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8HP5---------7": {POS: DET,"morph": "Case=Voc|Gender=Fem,Neut|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8HS1----------": {POS: DET, "morph": "Case=Nom|Gender=Fem,Neut|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8HS5----------": {POS: DET, "morph": "Case=Voc|Gender=Fem,Neut|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8IP1----------": {POS: DET,"morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8IP1---------1": {POS: DET,"morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8IP1---------7": {POS: DET,"morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8IP5----------": {POS: DET,"morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8IP5---------1": {POS: DET,"morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8IP5---------7": {POS: DET,"morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8IS4----------": {POS: DET,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8IS4---------6": {POS: DET,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8MP1----------": {POS: DET,"morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8MP1---------1": {POS: DET,"morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8MP5----------": {POS: DET,"morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8MP5---------1": {POS: DET,"morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8MS4----------": {POS: DET,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8MS4---------6": {POS: DET,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8NP1---------1": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8NP4---------1": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8NP5---------1": {POS: DET, "morph": "Case=Voc|Gender=Neut|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8NS1---------1": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8NS4----------": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8NS4---------1": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8NS5---------1": {POS: DET, "morph": "Case=Voc|Gender=Neut|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8XP2----------": {POS: DET, "morph": "Case=Gen|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8XP2---------6": {POS: DET, "morph": "Case=Gen|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8XP3----------": {POS: DET, "morph": "Case=Dat|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8XP3---------6": {POS: DET, "morph": "Case=Dat|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8XP4----------": {POS: DET, "morph": "Case=Acc|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8XP4---------7": {POS: DET, "morph": "Case=Acc|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8XP6----------": {POS: DET, "morph": "Case=Loc|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8XP6---------6": {POS: DET, "morph": "Case=Loc|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8XP7----------": {POS: DET, "morph": "Case=Ins|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8YP4---------1": {POS: DET, "morph": "Case=Acc|Gender=Masc|Number=Plur|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8YS1----------": {POS: DET, "morph": "Case=Nom|Gender=Masc|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8YS1---------6": {POS: DET,"morph": "Case=Nom|Gender=Masc|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8YS5----------": {POS: DET, "morph": "Case=Voc|Gender=Masc|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8YS5---------6": {POS: DET,"morph": "Case=Voc|Gender=Masc|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8ZS2----------": {POS: DET, "morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8ZS2---------6": {POS: DET,"morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8ZS3----------": {POS: DET, "morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8ZS3---------6": {POS: DET,"morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8ZS6----------": {POS: DET, "morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8ZS6---------6": {POS: DET,"morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8ZS6---------7": {POS: DET,"morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P8ZS7----------": {POS: DET, "morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes"}, - "P8ZS7---------6": {POS: DET,"morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes|Style=Coll"}, - "P9FS2----------": {POS: PRON, "morph": "Case=Gen|Gender=Fem|Number=Sing|PrepCase=Pre|PronType=Rel"}, - "P9FS2---------2": {POS: PRON, "morph": "Case=Gen|Gender=Fem|Number=Sing|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9FS3----------": {POS: PRON, "morph": "Case=Dat|Gender=Fem|Number=Sing|PrepCase=Pre|PronType=Rel"}, - "P9FS3---------2": {POS: PRON, "morph": "Case=Dat|Gender=Fem|Number=Sing|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9FS4----------": {POS: PRON, "morph": "Case=Acc|Gender=Fem|Number=Sing|PrepCase=Pre|PronType=Rel"}, - "P9FS4---------2": {POS: PRON, "morph": "Case=Acc|Gender=Fem|Number=Sing|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9FS6----------": {POS: PRON, "morph": "Case=Loc|Gender=Fem|Number=Sing|PrepCase=Pre|PronType=Rel"}, - "P9FS6---------2": {POS: PRON, "morph": "Case=Loc|Gender=Fem|Number=Sing|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9FS7----------": {POS: PRON, "morph": "Case=Ins|Gender=Fem|Number=Sing|PrepCase=Pre|PronType=Rel"}, - "P9FS7---------2": {POS: PRON, "morph": "Case=Ins|Gender=Fem|Number=Sing|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9NS4----------": {POS: PRON, "morph": "Case=Acc|Gender=Neut|Number=Sing|PrepCase=Pre|PronType=Rel"}, - "P9NS4---------2": {POS: PRON, "morph": "Case=Acc|Gender=Neut|Number=Sing|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9XP2----------": {POS: PRON, "morph": "Case=Gen|Number=Plur|PrepCase=Pre|PronType=Rel"}, - "P9XP2---------2": {POS: PRON, "morph": "Case=Gen|Number=Plur|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9XP3----------": {POS: PRON, "morph": "Case=Dat|Number=Plur|PrepCase=Pre|PronType=Rel"}, - "P9XP3---------2": {POS: PRON, "morph": "Case=Dat|Number=Plur|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9XP4----------": {POS: PRON, "morph": "Case=Acc|Number=Plur|PrepCase=Pre|PronType=Rel"}, - "P9XP4---------2": {POS: PRON, "morph": "Case=Acc|Number=Plur|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9XP6----------": {POS: PRON, "morph": "Case=Loc|Number=Plur|PrepCase=Pre|PronType=Rel"}, - "P9XP6---------2": {POS: PRON, "morph": "Case=Loc|Number=Plur|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9XP7----------": {POS: PRON, "morph": "Case=Ins|Number=Plur|PrepCase=Pre|PronType=Rel"}, - "P9XP7---------2": {POS: PRON, "morph": "Case=Ins|Number=Plur|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9ZS2----------": {POS: PRON, "morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|PrepCase=Pre|PronType=Rel"}, - "P9ZS2---------1": {POS: PRON, "morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|PrepCase=Pre|PronType=Rel"}, - "P9ZS2---------2": {POS: PRON,"morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9ZS2---------3": {POS: PRON,"morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9ZS3----------": {POS: PRON, "morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|PrepCase=Pre|PronType=Rel"}, - "P9ZS3---------2": {POS: PRON,"morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9ZS4----------": {POS: PRON, "morph": "Case=Acc|Gender=Masc,Neut|Number=Sing|PrepCase=Pre|PronType=Rel"}, - "P9ZS4---------1": {POS: PRON, "morph": "Case=Acc|Gender=Masc,Neut|Number=Sing|PrepCase=Pre|PronType=Rel"}, - "P9ZS4---------2": {POS: PRON,"morph": "Case=Acc|Gender=Masc,Neut|Number=Sing|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9ZS4---------3": {POS: PRON,"morph": "Case=Acc|Gender=Masc,Neut|Number=Sing|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9ZS6----------": {POS: PRON, "morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|PrepCase=Pre|PronType=Rel"}, - "P9ZS6---------2": {POS: PRON,"morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "P9ZS7----------": {POS: PRON, "morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|PrepCase=Pre|PronType=Rel"}, - "P9ZS7---------2": {POS: PRON,"morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|PrepCase=Pre|PronType=Rel|Style=Arch"}, - "PDFD7----------": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Dual|PronType=Dem"}, - "PDFD7---------2": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Dual|PronType=Dem|Style=Arch"}, - "PDFD7---------5": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Dual|PronType=Dem|Style=Coll"}, - "PDFD7---------6": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Dual|PronType=Dem|Style=Coll"}, - "PDFP1----------": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Plur|PronType=Dem"}, - "PDFP1---------5": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Plur|PronType=Dem|Style=Coll"}, - "PDFP1---------6": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Plur|PronType=Dem|Style=Coll"}, - "PDFP2----------": {POS: DET, "morph": "Case=Gen|Gender=Fem|Number=Plur|PronType=Dem"}, - "PDFP3----------": {POS: DET, "morph": "Case=Dat|Gender=Fem|Number=Plur|PronType=Dem"}, - "PDFP4----------": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Plur|PronType=Dem"}, - "PDFP4---------5": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Plur|PronType=Dem|Style=Coll"}, - "PDFP4---------6": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Plur|PronType=Dem|Style=Coll"}, - "PDFP6----------": {POS: DET, "morph": "Case=Loc|Gender=Fem|Number=Plur|PronType=Dem"}, - "PDFP7----------": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Plur|PronType=Dem"}, - "PDFS1----------": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Sing|PronType=Dem"}, - "PDFS1---------5": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Sing|PronType=Dem|Style=Coll"}, - "PDFS1---------6": {POS: DET, "morph": "Case=Nom|Gender=Fem|Number=Sing|PronType=Dem|Style=Coll"}, - "PDFS1---------8": {POS: DET, "morph": "Abbr=Yes|Case=Nom|Gender=Fem|Number=Sing|PronType=Dem"}, - "PDFS2----------": {POS: DET, "morph": "Case=Gen|Gender=Fem|Number=Sing|PronType=Dem"}, - "PDFS2---------5": {POS: DET, "morph": "Case=Gen|Gender=Fem|Number=Sing|PronType=Dem|Style=Coll"}, - "PDFS2---------6": {POS: DET, "morph": "Case=Gen|Gender=Fem|Number=Sing|PronType=Dem|Style=Coll"}, - "PDFS2---------8": {POS: DET, "morph": "Abbr=Yes|Case=Gen|Gender=Fem|Number=Sing|PronType=Dem"}, - "PDFS3----------": {POS: DET, "morph": "Case=Dat|Gender=Fem|Number=Sing|PronType=Dem"}, - "PDFS3---------5": {POS: DET, "morph": "Case=Dat|Gender=Fem|Number=Sing|PronType=Dem|Style=Coll"}, - "PDFS3---------6": {POS: DET, "morph": "Case=Dat|Gender=Fem|Number=Sing|PronType=Dem|Style=Coll"}, - "PDFS3---------8": {POS: DET, "morph": "Abbr=Yes|Case=Dat|Gender=Fem|Number=Sing|PronType=Dem"}, - "PDFS4----------": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Sing|PronType=Dem"}, - "PDFS4---------5": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Sing|PronType=Dem|Style=Coll"}, - "PDFS4---------6": {POS: DET, "morph": "Case=Acc|Gender=Fem|Number=Sing|PronType=Dem|Style=Coll"}, - "PDFS4---------8": {POS: DET, "morph": "Abbr=Yes|Case=Acc|Gender=Fem|Number=Sing|PronType=Dem"}, - "PDFS6----------": {POS: DET, "morph": "Case=Loc|Gender=Fem|Number=Sing|PronType=Dem"}, - "PDFS6---------5": {POS: DET, "morph": "Case=Loc|Gender=Fem|Number=Sing|PronType=Dem|Style=Coll"}, - "PDFS6---------6": {POS: DET, "morph": "Case=Loc|Gender=Fem|Number=Sing|PronType=Dem|Style=Coll"}, - "PDFS6---------8": {POS: DET, "morph": "Abbr=Yes|Case=Loc|Gender=Fem|Number=Sing|PronType=Dem"}, - "PDFS7----------": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Sing|PronType=Dem"}, - "PDFS7---------5": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Sing|PronType=Dem|Style=Coll"}, - "PDFS7---------6": {POS: DET, "morph": "Case=Ins|Gender=Fem|Number=Sing|PronType=Dem|Style=Coll"}, - "PDFS7---------8": {POS: DET, "morph": "Abbr=Yes|Case=Ins|Gender=Fem|Number=Sing|PronType=Dem"}, - "PDIP1----------": {POS: DET, "morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|PronType=Dem"}, - "PDIP1---------5": {POS: DET, "morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|PronType=Dem|Style=Coll"}, - "PDIP1---------6": {POS: DET, "morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|PronType=Dem|Style=Coll"}, - "PDIP2----------": {POS: DET, "morph": "Animacy=Inan|Case=Gen|Gender=Masc|Number=Plur|PronType=Dem"}, - "PDIP3----------": {POS: DET, "morph": "Animacy=Inan|Case=Dat|Gender=Masc|Number=Plur|PronType=Dem"}, - "PDIP4----------": {POS: DET, "morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Plur|PronType=Dem"}, - "PDIP4---------5": {POS: DET, "morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Plur|PronType=Dem|Style=Coll"}, - "PDIP4---------6": {POS: DET, "morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Plur|PronType=Dem|Style=Coll"}, - "PDIP6----------": {POS: DET, "morph": "Animacy=Inan|Case=Loc|Gender=Masc|Number=Plur|PronType=Dem"}, - "PDIP7----------": {POS: DET, "morph": "Animacy=Inan|Case=Ins|Gender=Masc|Number=Plur|PronType=Dem"}, - "PDIS1---------8": {POS: DET, "morph": "Abbr=Yes|Animacy=Inan|Case=Nom|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDIS2----------": {POS: DET, "morph": "Animacy=Inan|Case=Gen|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDIS2---------8": {POS: DET, "morph": "Abbr=Yes|Animacy=Inan|Case=Gen|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDIS3----------": {POS: DET, "morph": "Animacy=Inan|Case=Dat|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDIS3---------8": {POS: DET, "morph": "Abbr=Yes|Animacy=Inan|Case=Dat|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDIS4----------": {POS: DET, "morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDIS4---------5": {POS: DET, "morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|PronType=Dem|Style=Coll"}, - "PDIS4---------6": {POS: DET, "morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|PronType=Dem|Style=Coll"}, - "PDIS4---------8": {POS: DET, "morph": "Abbr=Yes|Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDIS6----------": {POS: DET, "morph": "Animacy=Inan|Case=Loc|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDIS6---------8": {POS: DET, "morph": "Abbr=Yes|Animacy=Inan|Case=Loc|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDIS7----------": {POS: DET, "morph": "Animacy=Inan|Case=Ins|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDIS7---------8": {POS: DET, "morph": "Abbr=Yes|Animacy=Inan|Case=Ins|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDMP1----------": {POS: DET, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|PronType=Dem"}, - "PDMP1---------1": {POS: DET, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|PronType=Dem"}, - "PDMP1---------5": {POS: DET, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|PronType=Dem|Style=Coll"}, - "PDMP1---------6": {POS: DET, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|PronType=Dem|Style=Coll"}, - "PDMP2----------": {POS: DET, "morph": "Animacy=Anim|Case=Gen|Gender=Masc|Number=Plur|PronType=Dem"}, - "PDMP3----------": {POS: DET, "morph": "Animacy=Anim|Case=Dat|Gender=Masc|Number=Plur|PronType=Dem"}, - "PDMP4----------": {POS: DET, "morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Plur|PronType=Dem"}, - "PDMP4---------5": {POS: DET, "morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Plur|PronType=Dem|Style=Coll"}, - "PDMP4---------6": {POS: DET, "morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Plur|PronType=Dem|Style=Coll"}, - "PDMP6----------": {POS: DET, "morph": "Animacy=Anim|Case=Loc|Gender=Masc|Number=Plur|PronType=Dem"}, - "PDMP7----------": {POS: DET, "morph": "Animacy=Anim|Case=Ins|Gender=Masc|Number=Plur|PronType=Dem"}, - "PDMS1----------": {POS: DET, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDMS1---------8": {POS: DET, "morph": "Abbr=Yes|Animacy=Anim|Case=Nom|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDMS2----------": {POS: DET, "morph": "Animacy=Anim|Case=Gen|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDMS2---------8": {POS: DET, "morph": "Abbr=Yes|Animacy=Anim|Case=Gen|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDMS3----------": {POS: DET, "morph": "Animacy=Anim|Case=Dat|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDMS3---------8": {POS: DET, "morph": "Abbr=Yes|Animacy=Anim|Case=Dat|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDMS4----------": {POS: DET, "morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDMS4---------5": {POS: DET, "morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|PronType=Dem|Style=Coll"}, - "PDMS4---------6": {POS: DET, "morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|PronType=Dem|Style=Coll"}, - "PDMS4---------8": {POS: DET, "morph": "Abbr=Yes|Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDMS6---------8": {POS: DET, "morph": "Abbr=Yes|Animacy=Anim|Case=Loc|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDMS7----------": {POS: DET, "morph": "Animacy=Anim|Case=Ins|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDMS7---------8": {POS: DET, "morph": "Abbr=Yes|Animacy=Anim|Case=Ins|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDNP1----------": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Plur|PronType=Dem"}, - "PDNP1---------5": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Plur|PronType=Dem|Style=Coll"}, - "PDNP1---------6": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Plur|PronType=Dem|Style=Coll"}, - "PDNP2----------": {POS: DET, "morph": "Case=Gen|Gender=Neut|Number=Plur|PronType=Dem"}, - "PDNP3----------": {POS: DET, "morph": "Case=Dat|Gender=Neut|Number=Plur|PronType=Dem"}, - "PDNP4----------": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Plur|PronType=Dem"}, - "PDNP4---------5": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Plur|PronType=Dem|Style=Coll"}, - "PDNP4---------6": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Plur|PronType=Dem|Style=Coll"}, - "PDNP6----------": {POS: DET, "morph": "Case=Loc|Gender=Neut|Number=Plur|PronType=Dem"}, - "PDNP7----------": {POS: DET, "morph": "Case=Ins|Gender=Neut|Number=Plur|PronType=Dem"}, - "PDNS1----------": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Sing|PronType=Dem"}, - "PDNS1---------2": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Sing|PronType=Dem|Style=Arch"}, - "PDNS1---------5": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Sing|PronType=Dem|Style=Coll"}, - "PDNS1---------6": {POS: DET, "morph": "Case=Nom|Gender=Neut|Number=Sing|PronType=Dem|Style=Coll"}, - "PDNS1---------8": {POS: DET, "morph": "Abbr=Yes|Case=Nom|Gender=Neut|Number=Sing|PronType=Dem"}, - "PDNS2----------": {POS: DET, "morph": "Case=Gen|Gender=Neut|Number=Sing|PronType=Dem"}, - "PDNS2---------8": {POS: DET, "morph": "Abbr=Yes|Case=Gen|Gender=Neut|Number=Sing|PronType=Dem"}, - "PDNS3----------": {POS: DET, "morph": "Case=Dat|Gender=Neut|Number=Sing|PronType=Dem"}, - "PDNS3---------8": {POS: DET, "morph": "Abbr=Yes|Case=Dat|Gender=Neut|Number=Sing|PronType=Dem"}, - "PDNS4----------": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Sing|PronType=Dem"}, - "PDNS4---------2": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Sing|PronType=Dem|Style=Arch"}, - "PDNS4---------5": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Sing|PronType=Dem|Style=Coll"}, - "PDNS4---------6": {POS: DET, "morph": "Case=Acc|Gender=Neut|Number=Sing|PronType=Dem|Style=Coll"}, - "PDNS4---------8": {POS: DET, "morph": "Abbr=Yes|Case=Acc|Gender=Neut|Number=Sing|PronType=Dem"}, - "PDNS6----------": {POS: DET, "morph": "Case=Loc|Gender=Neut|Number=Sing|PronType=Dem"}, - "PDNS6---------8": {POS: DET, "morph": "Abbr=Yes|Case=Loc|Gender=Neut|Number=Sing|PronType=Dem"}, - "PDNS7----------": {POS: DET, "morph": "Case=Ins|Gender=Neut|Number=Sing|PronType=Dem"}, - "PDNS7---------8": {POS: DET, "morph": "Abbr=Yes|Case=Ins|Gender=Neut|Number=Sing|PronType=Dem"}, - "PDXP2----------": {POS: DET, "morph": "Case=Gen|Number=Plur|PronType=Dem"}, - "PDXP2---------1": {POS: DET, "morph": "Case=Gen|Number=Plur|PronType=Dem"}, - "PDXP2---------2": {POS: DET, "morph": "Case=Gen|Number=Plur|PronType=Dem|Style=Arch"}, - "PDXP2---------5": {POS: DET, "morph": "Case=Gen|Number=Plur|PronType=Dem|Style=Coll"}, - "PDXP2---------6": {POS: DET, "morph": "Case=Gen|Number=Plur|PronType=Dem|Style=Coll"}, - "PDXP3----------": {POS: DET, "morph": "Case=Dat|Number=Plur|PronType=Dem"}, - "PDXP3---------1": {POS: DET, "morph": "Case=Dat|Number=Plur|PronType=Dem"}, - "PDXP3---------2": {POS: DET, "morph": "Case=Dat|Number=Plur|PronType=Dem|Style=Arch"}, - "PDXP3---------5": {POS: DET, "morph": "Case=Dat|Number=Plur|PronType=Dem|Style=Coll"}, - "PDXP3---------6": {POS: DET, "morph": "Case=Dat|Number=Plur|PronType=Dem|Style=Coll"}, - "PDXP6----------": {POS: DET, "morph": "Case=Loc|Number=Plur|PronType=Dem"}, - "PDXP6---------1": {POS: DET, "morph": "Case=Loc|Number=Plur|PronType=Dem"}, - "PDXP6---------2": {POS: DET, "morph": "Case=Loc|Number=Plur|PronType=Dem|Style=Arch"}, - "PDXP6---------5": {POS: DET, "morph": "Case=Loc|Number=Plur|PronType=Dem|Style=Coll"}, - "PDXP6---------6": {POS: DET, "morph": "Case=Loc|Number=Plur|PronType=Dem|Style=Coll"}, - "PDXP7----------": {POS: DET, "morph": "Case=Ins|Number=Plur|PronType=Dem"}, - "PDXP7---------2": {POS: DET, "morph": "Case=Ins|Number=Plur|PronType=Dem|Style=Arch"}, - "PDXP7---------5": {POS: DET, "morph": "Case=Ins|Number=Plur|PronType=Dem|Style=Coll"}, - "PDXP7---------6": {POS: DET, "morph": "Case=Ins|Number=Plur|PronType=Dem|Style=Coll"}, - "PDXPX----------": {POS: DET, "morph": "Number=Plur|PronType=Dem"}, - "PDXPX---------8": {POS: DET, "morph": "Abbr=Yes|Number=Plur|PronType=Dem"}, - "PDXS1----------": {POS: DET, "morph": "Case=Nom|Number=Sing|PronType=Dem"}, - "PDXS2----------": {POS: DET, "morph": "Case=Gen|Number=Sing|PronType=Dem"}, - "PDXS3----------": {POS: DET, "morph": "Case=Dat|Number=Sing|PronType=Dem"}, - "PDXS4----------": {POS: DET, "morph": "Case=Acc|Number=Sing|PronType=Dem"}, - "PDXS6----------": {POS: DET, "morph": "Case=Loc|Number=Sing|PronType=Dem"}, - "PDXS7----------": {POS: DET, "morph": "Case=Ins|Number=Sing|PronType=Dem"}, - "PDXSX----------": {POS: DET, "morph": "Number=Sing|PronType=Dem"}, - "PDXSX---------8": {POS: DET, "morph": "Abbr=Yes|Number=Sing|PronType=Dem"}, - "PDXXX----------": {POS: DET, "morph": "PronType=Dem"}, - "PDXXX---------8": {POS: DET, "morph": "Abbr=Yes|PronType=Dem"}, - "PDYS1----------": {POS: DET, "morph": "Case=Nom|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDYS1---------5": {POS: DET, "morph": "Case=Nom|Gender=Masc|Number=Sing|PronType=Dem|Style=Coll"}, - "PDYS1---------6": {POS: DET, "morph": "Case=Nom|Gender=Masc|Number=Sing|PronType=Dem|Style=Coll"}, - "PDYS4----------": {POS: DET, "morph": "Case=Acc|Gender=Masc|Number=Sing|PronType=Dem"}, - "PDZS2----------": {POS: DET, "morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|PronType=Dem"}, - "PDZS2---------5": {POS: DET, "morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|PronType=Dem|Style=Coll"}, - "PDZS2---------6": {POS: DET, "morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|PronType=Dem|Style=Coll"}, - "PDZS3----------": {POS: DET, "morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|PronType=Dem"}, - "PDZS3---------5": {POS: DET, "morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|PronType=Dem|Style=Coll"}, - "PDZS3---------6": {POS: DET, "morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|PronType=Dem|Style=Coll"}, - "PDZS6----------": {POS: DET, "morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|PronType=Dem"}, - "PDZS6---------1": {POS: DET, "morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|PronType=Dem"}, - "PDZS6---------2": {POS: DET, "morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|PronType=Dem|Style=Arch"}, - "PDZS6---------5": {POS: DET, "morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|PronType=Dem|Style=Coll"}, - "PDZS6---------6": {POS: DET, "morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|PronType=Dem|Style=Coll"}, - "PDZS7----------": {POS: DET, "morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|PronType=Dem"}, - "PDZS7---------5": {POS: DET, "morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|PronType=Dem|Style=Coll"}, - "PDZS7---------6": {POS: DET, "morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|PronType=Dem|Style=Coll"}, - "PE--1----------": {POS: PRON, "morph": "Case=Nom|PronType=Rel"}, - "PE--2----------": {POS: PRON, "morph": "Case=Gen|PronType=Rel"}, - "PE--3----------": {POS: PRON, "morph": "Case=Dat|PronType=Rel"}, - "PE--4----------": {POS: PRON, "morph": "Case=Acc|PronType=Rel"}, - "PE--6----------": {POS: PRON, "morph": "Case=Loc|PronType=Rel"}, - "PE--7----------": {POS: PRON, "morph": "Case=Ins|PronType=Rel"}, - "PH-S2--1-------": {POS: PRON, "morph": "Case=Gen|Number=Sing|Person=1|PronType=Prs|Variant=Short"}, - "PH-S2--2-------": {POS: PRON, "morph": "Case=Gen|Number=Sing|Person=2|PronType=Prs|Variant=Short"}, - "PH-S3--1-------": {POS: PRON, "morph": "Case=Dat|Number=Sing|Person=1|PronType=Prs|Variant=Short"}, - "PH-S3--2-------": {POS: PRON, "morph": "Case=Dat|Number=Sing|Person=2|PronType=Prs|Variant=Short"}, - "PH-S4--1-------": {POS: PRON, "morph": "Case=Acc|Number=Sing|Person=1|PronType=Prs|Variant=Short"}, - "PH-S4--2-------": {POS: PRON, "morph": "Case=Acc|Number=Sing|Person=2|PronType=Prs|Variant=Short"}, - "PHZS2--3-------": {POS: PRON,"morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|Person=3|PronType=Prs|Variant=Short"}, - "PHZS3--3-------": {POS: PRON,"morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|Person=3|PronType=Prs|Variant=Short"}, - "PHZS4--3-------": {POS: PRON,"morph": "Case=Acc|Gender=Masc,Neut|Number=Sing|Person=3|PronType=Prs|Variant=Short"}, - "PJFD7----------": {POS: PRON, "morph": "Case=Ins|Gender=Fem|Number=Dual|PrepCase=Npr|PronType=Rel"}, - "PJFP1----------": {POS: PRON, "morph": "Case=Nom|Gender=Fem|Number=Plur|PrepCase=Npr|PronType=Rel"}, - "PJFP4----------": {POS: PRON, "morph": "Case=Acc|Gender=Fem|Number=Plur|PrepCase=Npr|PronType=Rel"}, - "PJFS1----------": {POS: PRON, "morph": "Case=Nom|Gender=Fem|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJFS1---------2": {POS: PRON, "morph": "Case=Nom|Gender=Fem|Number=Sing|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJFS2----------": {POS: PRON, "morph": "Case=Gen|Gender=Fem|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJFS2---------2": {POS: PRON, "morph": "Case=Gen|Gender=Fem|Number=Sing|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJFS3----------": {POS: PRON, "morph": "Case=Dat|Gender=Fem|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJFS3---------2": {POS: PRON, "morph": "Case=Dat|Gender=Fem|Number=Sing|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJFS4----------": {POS: PRON, "morph": "Case=Acc|Gender=Fem|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJFS4---------2": {POS: PRON, "morph": "Case=Acc|Gender=Fem|Number=Sing|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJFS6----------": {POS: PRON, "morph": "Case=Loc|Gender=Fem|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJFS7----------": {POS: PRON, "morph": "Case=Ins|Gender=Fem|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJFS7---------2": {POS: PRON, "morph": "Case=Ins|Gender=Fem|Number=Sing|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJIP1----------": {POS: PRON, "morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|PrepCase=Npr|PronType=Rel"}, - "PJIS4----------": {POS: PRON, "morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJIS4---------2": {POS: PRON,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJMP1----------": {POS: PRON, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|PrepCase=Npr|PronType=Rel"}, - "PJMS4----------": {POS: PRON, "morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJMS4---------2": {POS: PRON,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJNP1----------": {POS: PRON, "morph": "Case=Nom|Gender=Neut|Number=Plur|PrepCase=Npr|PronType=Rel"}, - "PJNP4----------": {POS: PRON, "morph": "Case=Acc|Gender=Neut|Number=Plur|PrepCase=Npr|PronType=Rel"}, - "PJNS1----------": {POS: PRON, "morph": "Case=Nom|Gender=Neut|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJNS1---------2": {POS: PRON, "morph": "Case=Nom|Gender=Neut|Number=Sing|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJNS4----------": {POS: PRON, "morph": "Case=Acc|Gender=Neut|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJNS4---------2": {POS: PRON, "morph": "Case=Acc|Gender=Neut|Number=Sing|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJXP1----------": {POS: PRON, "morph": "Case=Nom|Number=Plur|PrepCase=Npr|PronType=Rel"}, - "PJXP1---------2": {POS: PRON, "morph": "Case=Nom|Number=Plur|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJXP2----------": {POS: PRON, "morph": "Case=Gen|Number=Plur|PrepCase=Npr|PronType=Rel"}, - "PJXP2---------2": {POS: PRON, "morph": "Case=Gen|Number=Plur|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJXP3----------": {POS: PRON, "morph": "Case=Dat|Number=Plur|PrepCase=Npr|PronType=Rel"}, - "PJXP3---------2": {POS: PRON, "morph": "Case=Dat|Number=Plur|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJXP4----------": {POS: PRON, "morph": "Case=Acc|Number=Plur|PrepCase=Npr|PronType=Rel"}, - "PJXP4---------2": {POS: PRON, "morph": "Case=Acc|Number=Plur|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJXP6----------": {POS: PRON, "morph": "Case=Loc|Number=Plur|PrepCase=Npr|PronType=Rel"}, - "PJXP7----------": {POS: PRON, "morph": "Case=Ins|Number=Plur|PrepCase=Npr|PronType=Rel"}, - "PJXP7---------2": {POS: PRON, "morph": "Case=Ins|Number=Plur|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJYP4----------": {POS: PRON, "morph": "Case=Acc|Gender=Masc|Number=Plur|PrepCase=Npr|PronType=Rel"}, - "PJYS1----------": {POS: PRON, "morph": "Case=Nom|Gender=Masc|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJYS1---------2": {POS: PRON, "morph": "Case=Nom|Gender=Masc|Number=Sing|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJZS2----------": {POS: PRON, "morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJZS2---------1": {POS: PRON, "morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJZS2---------2": {POS: PRON,"morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJZS2---------3": {POS: PRON,"morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJZS3----------": {POS: PRON, "morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJZS3---------2": {POS: PRON,"morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJZS4---------1": {POS: PRON, "morph": "Case=Acc|Gender=Masc,Neut|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJZS4---------3": {POS: PRON,"morph": "Case=Acc|Gender=Masc,Neut|Number=Sing|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PJZS6----------": {POS: PRON, "morph": "Case=Loc|Gender=Masc,Neut|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJZS7----------": {POS: PRON, "morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|PrepCase=Npr|PronType=Rel"}, - "PJZS7---------2": {POS: PRON,"morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|PrepCase=Npr|PronType=Rel|Style=Arch"}, - "PKM-1----------": {POS: PRON, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|PronType=Int,Rel"}, - "PKM-1---------1": {POS: PRON, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|PronType=Int,Rel"}, - "PKM-1---------2": {POS: PRON, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|PronType=Int,Rel|Style=Arch"}, - "PKM-1--2-------": {POS: PRON, "morph": "Animacy=Anim|Case=Nom|Gender=Masc|Person=2|PronType=Int,Rel"}, - 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"PP-P6--1-------": {POS: PRON, "morph": "Case=Loc|Number=Plur|Person=1|PronType=Prs"}, - "PP-P6--2-------": {POS: PRON, "morph": "Case=Loc|Number=Plur|Person=2|PronType=Prs"}, - "PP-P7--1-------": {POS: PRON, "morph": "Case=Ins|Number=Plur|Person=1|PronType=Prs"}, - "PP-P7--1------6": {POS: PRON, "morph": "Case=Ins|Number=Plur|Person=1|PronType=Prs|Style=Coll"}, - "PP-P7--2-------": {POS: PRON, "morph": "Case=Ins|Number=Plur|Person=2|PronType=Prs"}, - "PP-PX--1-------": {POS: PRON, "morph": "Number=Plur|Person=1|PronType=Prs"}, - "PP-PX--2-------": {POS: PRON, "morph": "Number=Plur|Person=2|PronType=Prs"}, - "PP-S1--1-------": {POS: PRON, "morph": "Case=Nom|Number=Sing|Person=1|PronType=Prs"}, - "PP-S1--2-------": {POS: PRON, "morph": "Case=Nom|Number=Sing|Person=2|PronType=Prs"}, - "PP-S1--2P-AA---": {POS: PRON,"morph": "Case=Nom|Number=Sing|Person=2|Polarity=Pos|PronType=Prs|Tense=Pres|Voice=Act"}, - "PP-S2--1-------": {POS: PRON, "morph": "Case=Gen|Number=Sing|Person=1|PronType=Prs"}, - "PP-S2--2-------": {POS: PRON, "morph": "Case=Gen|Number=Sing|Person=2|PronType=Prs"}, - "PP-S3--1-------": {POS: PRON, "morph": "Case=Dat|Number=Sing|Person=1|PronType=Prs"}, - "PP-S3--2-------": {POS: PRON, "morph": "Case=Dat|Number=Sing|Person=2|PronType=Prs"}, - "PP-S4--1-------": {POS: PRON, "morph": "Case=Acc|Number=Sing|Person=1|PronType=Prs"}, - "PP-S4--2-------": {POS: PRON, "morph": "Case=Acc|Number=Sing|Person=2|PronType=Prs"}, - "PP-S5--1-------": {POS: PRON, "morph": "Case=Voc|Number=Sing|Person=1|PronType=Prs"}, - "PP-S5--2-------": {POS: PRON, "morph": "Case=Voc|Number=Sing|Person=2|PronType=Prs"}, - "PP-S6--1-------": {POS: PRON, "morph": "Case=Loc|Number=Sing|Person=1|PronType=Prs"}, - "PP-S6--2-------": {POS: PRON, "morph": "Case=Loc|Number=Sing|Person=2|PronType=Prs"}, - "PP-S7--1-------": {POS: PRON, "morph": "Case=Ins|Number=Sing|Person=1|PronType=Prs"}, - "PP-S7--2-------": {POS: PRON, "morph": "Case=Ins|Number=Sing|Person=2|PronType=Prs"}, - "PP-SX--1-------": {POS: PRON, "morph": "Number=Sing|Person=1|PronType=Prs"}, - "PP-SX--2-------": {POS: PRON, "morph": "Number=Sing|Person=2|PronType=Prs"}, - "PPXP1--3-------": {POS: PRON, "morph": "Case=Nom|Number=Plur|Person=3|PronType=Prs"}, - "PPXP2--3-------": {POS: PRON, "morph": "Case=Gen|Number=Plur|Person=3|PronType=Prs"}, - "PPXP3--3-------": {POS: PRON, "morph": "Case=Dat|Number=Plur|Person=3|PronType=Prs"}, - "PPXP4--3-------": {POS: PRON, "morph": "Case=Acc|Number=Plur|Person=3|PronType=Prs"}, - "PPXP7--3-------": {POS: PRON, "morph": "Case=Ins|Number=Plur|Person=3|PronType=Prs"}, - "PPXPX--3-------": {POS: PRON, "morph": "Number=Plur|Person=3|PronType=Prs"}, - "PPXS3--3-------": {POS: PRON, "morph": "Case=Dat|Number=Sing|Person=3|PronType=Prs"}, - "PP-XX--2-------": {POS: PRON, "morph": "Person=2|PronType=Prs"}, - "PPYS1--3-------": {POS: PRON, "morph": "Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs"}, - "PPYS2--3-------": {POS: PRON, "morph": "Case=Gen|Gender=Masc|Number=Sing|Person=3|PronType=Prs"}, - "PPYS4--3-------": {POS: PRON, "morph": "Case=Acc|Gender=Masc|Number=Sing|Person=3|PronType=Prs"}, - "PPZS2--3------1": {POS: PRON, "morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|Person=3|PronType=Prs"}, - "PPZS3--3-------": {POS: PRON, "morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|Person=3|PronType=Prs"}, - "PPZS4--3------2": {POS: PRON, "morph": "Case=Acc|Gender=Masc,Neut|Number=Sing|Person=3|PronType=Prs|Style=Arch"}, - "PPZS7--3-------": {POS: PRON, "morph": "Case=Ins|Gender=Masc,Neut|Number=Sing|Person=3|PronType=Prs"}, - "PQ--1----------": {POS: PRON, "morph": "Animacy=Inan|Case=Nom|PronType=Int,Rel"}, - "PQ--1---------9": {POS: PRON, "morph": "Animacy=Inan|Case=Nom|PronType=Int,Rel"}, - "PQ--2----------": {POS: PRON, "morph": "Animacy=Inan|Case=Gen|PronType=Int,Rel"}, - "PQ--2---------9": {POS: PRON, "morph": "Animacy=Inan|Case=Gen|PronType=Int,Rel"}, - "PQ--3----------": {POS: PRON, "morph": "Animacy=Inan|Case=Dat|PronType=Int,Rel"}, - "PQ--3---------9": {POS: PRON, "morph": "Animacy=Inan|Case=Dat|PronType=Int,Rel"}, - "PQ--4----------": {POS: PRON, "morph": "Animacy=Inan|Case=Acc|PronType=Int,Rel"}, - "PQ--4---------9": {POS: PRON, "morph": "Animacy=Inan|Case=Acc|PronType=Int,Rel"}, - "PQ--6----------": {POS: PRON, "morph": "Animacy=Inan|Case=Loc|PronType=Int,Rel"}, - "PQ--6---------9": {POS: PRON, "morph": "Animacy=Inan|Case=Loc|PronType=Int,Rel"}, - "PQ--7----------": {POS: PRON, "morph": "Animacy=Inan|Case=Ins|PronType=Int,Rel"}, - "PQ--7---------9": {POS: PRON, "morph": "Animacy=Inan|Case=Ins|PronType=Int,Rel"}, - "PQ--X----------": {POS: PRON, "morph": "Animacy=Inan|PronType=Int,Rel"}, - "PQ--X---------9": {POS: PRON, "morph": "Animacy=Inan|PronType=Int,Rel"}, - "PSFD7FS3-------": {POS: DET,"morph": "Case=Ins|Gender=Fem|Gender[psor]=Fem|Number=Dual|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSFD7-P1-------": {POS: DET,"morph": "Case=Ins|Gender=Fem|Number=Dual|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSFD7-P2-------": {POS: DET,"morph": "Case=Ins|Gender=Fem|Number=Dual|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSFD7-S1-------": {POS: DET,"morph": "Case=Ins|Gender=Fem|Number=Dual|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFD7-S1------6": {POS: DET,"morph": "Case=Ins|Gender=Fem|Number=Dual|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSFD7-S2-------": {POS: DET,"morph": "Case=Ins|Gender=Fem|Number=Dual|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSFD7-S2------6": {POS: DET,"morph": "Case=Ins|Gender=Fem|Number=Dual|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSFP1-S1------1": {POS: DET,"morph": "Case=Nom|Gender=Fem|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFP1-S2------1": {POS: DET,"morph": "Case=Nom|Gender=Fem|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSFP4-S1------1": {POS: DET,"morph": "Case=Acc|Gender=Fem|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFP4-S2------1": {POS: DET,"morph": "Case=Acc|Gender=Fem|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSFPX-P1-------": {POS: DET, "morph": "Gender=Fem|Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSFPX-S1-------": {POS: DET, "morph": "Gender=Fem|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFPX-X1-------": {POS: DET, "morph": "Gender=Fem|Number=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS1-S1------1": {POS: DET,"morph": "Case=Nom|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS1-S2------1": {POS: DET,"morph": "Case=Nom|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS2-P1-------": {POS: DET,"morph": "Case=Gen|Gender=Fem|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS2-P2-------": {POS: DET,"morph": "Case=Gen|Gender=Fem|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS2-S1-------": {POS: DET,"morph": "Case=Gen|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS2-S1------1": {POS: DET,"morph": "Case=Gen|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS2-S1------6": {POS: DET,"morph": "Case=Gen|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSFS2-S2-------": {POS: DET,"morph": "Case=Gen|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS2-S2------1": {POS: DET,"morph": "Case=Gen|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS2-S2------6": {POS: DET,"morph": "Case=Gen|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSFS3-P1-------": {POS: DET,"morph": "Case=Dat|Gender=Fem|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS3-P2-------": {POS: DET,"morph": "Case=Dat|Gender=Fem|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS3-S1-------": {POS: DET,"morph": "Case=Dat|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS3-S1------1": {POS: DET,"morph": "Case=Dat|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS3-S1------6": {POS: DET,"morph": "Case=Dat|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSFS3-S2-------": {POS: DET,"morph": "Case=Dat|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS3-S2------1": {POS: DET,"morph": "Case=Dat|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS3-S2------6": {POS: DET,"morph": "Case=Dat|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSFS4-P1-------": {POS: DET,"morph": "Case=Acc|Gender=Fem|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS4-P1------6": {POS: DET,"morph": "Case=Acc|Gender=Fem|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSFS4-P2-------": {POS: DET,"morph": "Case=Acc|Gender=Fem|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS4-P2------6": {POS: DET,"morph": "Case=Acc|Gender=Fem|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSFS4-S1-------": {POS: DET,"morph": "Case=Acc|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS4-S1------1": {POS: DET,"morph": "Case=Acc|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS4-S1------6": {POS: DET,"morph": "Case=Acc|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSFS4-S2-------": {POS: DET,"morph": "Case=Acc|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS4-S2------1": {POS: DET,"morph": "Case=Acc|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS4-S2------6": {POS: DET,"morph": "Case=Acc|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSFS5-S1------1": {POS: DET,"morph": "Case=Voc|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS5-S2------1": {POS: DET,"morph": "Case=Voc|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS6-P1-------": {POS: DET,"morph": "Case=Loc|Gender=Fem|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS6-P2-------": {POS: DET,"morph": "Case=Loc|Gender=Fem|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS6-S1-------": {POS: DET,"morph": "Case=Loc|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS6-S1------1": {POS: DET,"morph": "Case=Loc|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS6-S1------6": {POS: DET,"morph": "Case=Loc|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSFS6-S2-------": {POS: DET,"morph": "Case=Loc|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS6-S2------1": {POS: DET,"morph": "Case=Loc|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS6-S2------6": {POS: DET,"morph": "Case=Loc|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSFS7-P1-------": {POS: DET,"morph": "Case=Ins|Gender=Fem|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS7-P2-------": {POS: DET,"morph": "Case=Ins|Gender=Fem|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS7-S1-------": {POS: DET,"morph": "Case=Ins|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS7-S1------1": {POS: DET,"morph": "Case=Ins|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFS7-S2-------": {POS: DET,"morph": "Case=Ins|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSFS7-S2------1": {POS: DET,"morph": "Case=Ins|Gender=Fem|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSFSXFS3-------": {POS: DET,"morph": "Gender=Fem|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSFSX-P1-------": {POS: DET, "morph": "Gender=Fem|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSFSX-S1-------": {POS: DET, "morph": "Gender=Fem|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSFSX-X1-------": {POS: DET, "morph": "Gender=Fem|Number=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSHP1-P1-------": {POS: DET,"morph": "Case=Nom|Gender=Fem,Neut|Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSHP1-P2-------": {POS: DET,"morph": "Case=Nom|Gender=Fem,Neut|Number=Plur|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSHP1-S1-------": {POS: DET,"morph": "Case=Nom|Gender=Fem,Neut|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSHP1-S2-------": {POS: DET,"morph": "Case=Nom|Gender=Fem,Neut|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSHP5-S1-------": {POS: DET,"morph": "Case=Voc|Gender=Fem,Neut|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSHP5-S1------7": {POS: DET,"morph": "Case=Voc|Gender=Fem,Neut|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSHP5-S2-------": {POS: DET,"morph": "Case=Voc|Gender=Fem,Neut|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSHP5-S2------7": {POS: DET,"morph": "Case=Voc|Gender=Fem,Neut|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSHS1-P1-------": {POS: DET,"morph": "Case=Nom|Gender=Fem,Neut|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSHS1-P2-------": {POS: DET,"morph": "Case=Nom|Gender=Fem,Neut|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSHS1-S1-------": {POS: DET,"morph": "Case=Nom|Gender=Fem,Neut|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSHS1-S2-------": {POS: DET,"morph": "Case=Nom|Gender=Fem,Neut|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSHS5-P1-------": {POS: DET,"morph": "Case=Voc|Gender=Fem,Neut|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSHS5-P2-------": {POS: DET,"morph": "Case=Voc|Gender=Fem,Neut|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSHS5-S1-------": {POS: DET,"morph": "Case=Voc|Gender=Fem,Neut|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSHS5-S2-------": {POS: DET,"morph": "Case=Voc|Gender=Fem,Neut|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSIP1-P1-------": {POS: DET,"morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSIP1-P2-------": {POS: DET,"morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSIP1-S1-------": {POS: DET,"morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSIP1-S1------1": {POS: DET,"morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSIP1-S1------7": {POS: DET,"morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSIP1-S2-------": {POS: DET,"morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSIP1-S2------1": {POS: DET,"morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSIP1-S2------7": {POS: DET,"morph": "Animacy=Inan|Case=Nom|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSIP5-S1-------": {POS: DET,"morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSIP5-S1------1": {POS: DET,"morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSIP5-S1------7": {POS: DET,"morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSIP5-S2-------": {POS: DET,"morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSIP5-S2------1": {POS: DET,"morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSIP5-S2------7": {POS: DET,"morph": "Animacy=Inan|Case=Voc|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSIPX-P1-------": {POS: DET,"morph": "Animacy=Inan|Gender=Masc|Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSIPX-S1-------": {POS: DET,"morph": "Animacy=Inan|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSIPX-X1-------": {POS: DET, "morph": "Animacy=Inan|Gender=Masc|Number=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSIS4FS3-------": {POS: DET,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSIS4-P1-------": {POS: DET,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSIS4-P2-------": {POS: DET,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSIS4-S1-------": {POS: DET,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSIS4-S1------6": {POS: DET,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSIS4-S2-------": {POS: DET,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSIS4-S2------6": {POS: DET,"morph": "Animacy=Inan|Case=Acc|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSISX-P1-------": {POS: DET,"morph": "Animacy=Inan|Gender=Masc|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSISX-S1-------": {POS: DET,"morph": "Animacy=Inan|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSISX-X1-------": {POS: DET, "morph": "Animacy=Inan|Gender=Masc|Number=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSMP1-P1-------": {POS: DET,"morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSMP1-P2-------": {POS: DET,"morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSMP1-S1-------": {POS: DET,"morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSMP1-S1------1": {POS: DET,"morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSMP1-S1------7": {POS: DET,"morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSMP1-S2-------": {POS: DET,"morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSMP1-S2------1": {POS: DET,"morph": "Animacy=Anim|Case=Nom|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSMP5-P1-------": {POS: DET,"morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSMP5-P2-------": {POS: DET,"morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Plur|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSMP5-S1-------": {POS: DET,"morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSMP5-S1------1": {POS: DET,"morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSMP5-S1------7": {POS: DET,"morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSMP5-S2-------": {POS: DET,"morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSMP5-S2------1": {POS: DET,"morph": "Animacy=Anim|Case=Voc|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSMPX-P1-------": {POS: DET,"morph": "Animacy=Anim|Gender=Masc|Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSMPX-S1-------": {POS: DET,"morph": "Animacy=Anim|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSMPX-X1-------": {POS: DET, "morph": "Animacy=Anim|Gender=Masc|Number=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSMS4FS3-------": {POS: DET,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSMS4-P1-------": {POS: DET,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSMS4-P2-------": {POS: DET,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSMS4-S1-------": {POS: DET,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSMS4-S1------6": {POS: DET,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSMS4-S2-------": {POS: DET,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSMS4-S2------6": {POS: DET,"morph": "Animacy=Anim|Case=Acc|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSMSX-P1-------": {POS: DET,"morph": "Animacy=Anim|Gender=Masc|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSMSX-S1-------": {POS: DET,"morph": "Animacy=Anim|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSMSX-X1-------": {POS: DET, "morph": "Animacy=Anim|Gender=Masc|Number=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSNP1-S1------1": {POS: DET,"morph": "Case=Nom|Gender=Neut|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSNP1-S2------1": {POS: DET,"morph": "Case=Nom|Gender=Neut|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSNP4-S1------1": {POS: DET,"morph": "Case=Acc|Gender=Neut|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSNP4-S2------1": {POS: DET,"morph": "Case=Acc|Gender=Neut|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSNP5-S1------1": {POS: DET,"morph": "Case=Voc|Gender=Neut|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSNP5-S2------1": {POS: DET,"morph": "Case=Voc|Gender=Neut|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSNPX-P1-------": {POS: DET, "morph": "Gender=Neut|Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSNPX-S1-------": {POS: DET, "morph": "Gender=Neut|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSNPX-X1-------": {POS: DET, "morph": "Gender=Neut|Number=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSNS1-S1------1": {POS: DET,"morph": "Case=Nom|Gender=Neut|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSNS1-S2------1": {POS: DET,"morph": "Case=Nom|Gender=Neut|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSNS4FS3-------": {POS: DET,"morph": "Case=Acc|Gender=Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSNS4-P1-------": {POS: DET,"morph": "Case=Acc|Gender=Neut|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSNS4-P2-------": {POS: DET,"morph": "Case=Acc|Gender=Neut|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSNS4-S1-------": {POS: DET,"morph": "Case=Acc|Gender=Neut|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSNS4-S1------1": {POS: DET,"morph": "Case=Acc|Gender=Neut|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSNS4-S2-------": {POS: DET,"morph": "Case=Acc|Gender=Neut|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSNS4-S2------1": {POS: DET,"morph": "Case=Acc|Gender=Neut|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSNS5-S1------1": {POS: DET,"morph": "Case=Voc|Gender=Neut|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSNS5-S2------1": {POS: DET,"morph": "Case=Voc|Gender=Neut|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSNSX-P1-------": {POS: DET, "morph": "Gender=Neut|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSNSX-S1-------": {POS: DET, "morph": "Gender=Neut|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSNSX-X1-------": {POS: DET, "morph": "Gender=Neut|Number=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSXP1FS3-------": {POS: DET,"morph": "Case=Nom|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSXP2FS3-------": {POS: DET,"morph": "Case=Gen|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSXP2-P1-------": {POS: DET, "morph": "Case=Gen|Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSXP2-P2-------": {POS: DET, "morph": "Case=Gen|Number=Plur|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSXP2-S1-------": {POS: DET, "morph": "Case=Gen|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSXP2-S1------6": {POS: DET,"morph": "Case=Gen|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSXP2-S2-------": {POS: DET, "morph": "Case=Gen|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSXP2-S2------6": {POS: DET,"morph": "Case=Gen|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSXP3FS3-------": {POS: DET,"morph": "Case=Dat|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSXP3-P1-------": {POS: DET, "morph": "Case=Dat|Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSXP3-P2-------": {POS: DET, "morph": "Case=Dat|Number=Plur|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSXP3-S1-------": {POS: DET, "morph": "Case=Dat|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSXP3-S1------6": {POS: DET,"morph": "Case=Dat|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSXP3-S2-------": {POS: DET, "morph": "Case=Dat|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSXP3-S2------6": {POS: DET,"morph": "Case=Dat|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSXP4FS3-------": {POS: DET,"morph": "Case=Acc|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSXP4-P1-------": {POS: DET, "morph": "Case=Acc|Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSXP4-P2-------": {POS: DET, "morph": "Case=Acc|Number=Plur|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSXP4-S1-------": {POS: DET, "morph": "Case=Acc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSXP4-S1------7": {POS: DET,"morph": "Case=Acc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSXP4-S2-------": {POS: DET, "morph": "Case=Acc|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSXP4-S2------7": {POS: DET,"morph": "Case=Acc|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSXP5FS3-------": {POS: DET,"morph": "Case=Voc|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSXP6FS3-------": {POS: DET,"morph": "Case=Loc|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSXP6-P1-------": {POS: DET, "morph": "Case=Loc|Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSXP6-P2-------": {POS: DET, "morph": "Case=Loc|Number=Plur|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSXP6-S1-------": {POS: DET, "morph": "Case=Loc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSXP6-S1------6": {POS: DET,"morph": "Case=Loc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSXP6-S2-------": {POS: DET, "morph": "Case=Loc|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSXP6-S2------6": {POS: DET,"morph": "Case=Loc|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSXP7FS3-------": {POS: DET,"morph": "Case=Ins|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSXP7FS3------6": {POS: DET,"morph": "Case=Ins|Gender[psor]=Fem|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSXP7-P1-------": {POS: DET, "morph": "Case=Ins|Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSXP7-P1------6": {POS: DET,"morph": "Case=Ins|Number=Plur|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSXP7-P2-------": {POS: DET, "morph": "Case=Ins|Number=Plur|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSXP7-P2------6": {POS: DET,"morph": "Case=Ins|Number=Plur|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSXP7-S1-------": {POS: DET, "morph": "Case=Ins|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSXP7-S2-------": {POS: DET, "morph": "Case=Ins|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSXXXNS3-------": {POS: DET, "morph": "Gender[psor]=Neut|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSXXX-P1-------": {POS: DET, "morph": "Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSXXX-S1-------": {POS: DET, "morph": "Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSXXX-X2-------": {POS: DET, "morph": "Person=2|Poss=Yes|PronType=Prs"}, - "PSXXXXP3-------": {POS: DET, "morph": "Number[psor]=Plur|Person=3|Poss=Yes|PronType=Prs"}, - "PSXXXYS3-------": {POS: DET, "morph": "Gender[psor]=Masc|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSXXXZS3-------": {POS: DET, "morph": "Gender[psor]=Masc,Neut|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSYP4-S1------1": {POS: DET,"morph": "Case=Acc|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSYP4-S1------7": {POS: DET,"morph": "Case=Acc|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSYP4-S2------1": {POS: DET,"morph": "Case=Acc|Gender=Masc|Number=Plur|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSYS1-P1-------": {POS: DET,"morph": "Case=Nom|Gender=Masc|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSYS1-P2-------": {POS: DET,"morph": "Case=Nom|Gender=Masc|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSYS1-S1-------": {POS: DET,"morph": "Case=Nom|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSYS1-S1------6": {POS: DET,"morph": "Case=Nom|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSYS1-S2-------": {POS: DET,"morph": "Case=Nom|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSYS1-S2------6": {POS: DET,"morph": "Case=Nom|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSYS5-P1-------": {POS: DET,"morph": "Case=Voc|Gender=Masc|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSYS5-P2-------": {POS: DET,"morph": "Case=Voc|Gender=Masc|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSYS5-S1-------": {POS: DET,"morph": "Case=Voc|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSYS5-S1------6": {POS: DET,"morph": "Case=Voc|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSYS5-S2-------": {POS: DET,"morph": "Case=Voc|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSYS5-S2------6": {POS: DET,"morph": "Case=Voc|Gender=Masc|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSZS1FS3-------": {POS: DET,"morph": "Case=Nom|Gender=Masc,Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSZS2FS3-------": {POS: DET,"morph": "Case=Gen|Gender=Masc,Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSZS2-P1-------": {POS: DET,"morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSZS2-P2-------": {POS: DET,"morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSZS2-S1-------": {POS: DET,"morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSZS2-S1------6": {POS: DET,"morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSZS2-S2-------": {POS: DET,"morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - "PSZS2-S2------6": {POS: DET,"morph": "Case=Gen|Gender=Masc,Neut|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSZS3FS3-------": {POS: DET,"morph": "Case=Dat|Gender=Masc,Neut|Gender[psor]=Fem|Number=Sing|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs"}, - "PSZS3-P1-------": {POS: DET,"morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|Number[psor]=Plur|Person=1|Poss=Yes|PronType=Prs"}, - "PSZS3-P2-------": {POS: DET,"morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs"}, - "PSZS3-S1-------": {POS: DET,"morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs"}, - "PSZS3-S1------6": {POS: DET,"morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|Number[psor]=Sing|Person=1|Poss=Yes|PronType=Prs|Style=Coll"}, - "PSZS3-S2-------": {POS: DET,"morph": "Case=Dat|Gender=Masc,Neut|Number=Sing|Number[psor]=Sing|Person=2|Poss=Yes|PronType=Prs"}, - 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"VqQW---XR-AA--3": {POS: VERB,"morph": "Gender=Fem,Neut|Number=Plur,Sing|Polarity=Pos|Style=Arch|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqQW---XR-AA--7": {POS: VERB,"morph": "Gender=Fem,Neut|Number=Plur,Sing|Polarity=Pos|Style=Coll|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqQW---XR-NA--2": {POS: VERB,"morph": "Gender=Fem,Neut|Number=Plur,Sing|Polarity=Neg|Style=Arch|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqQW---XR-NA--3": {POS: VERB,"morph": "Gender=Fem,Neut|Number=Plur,Sing|Polarity=Neg|Style=Arch|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqQW---XR-NA--7": {POS: VERB,"morph": "Gender=Fem,Neut|Number=Plur,Sing|Polarity=Neg|Style=Coll|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqTP---XR-AA--2": {POS: VERB,"morph": "Animacy=Inan|Gender=Fem,Masc|Number=Plur|Polarity=Pos|Style=Arch|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqTP---XR-AA--3": {POS: VERB,"morph": "Animacy=Inan|Gender=Fem,Masc|Number=Plur|Polarity=Pos|Style=Arch|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqTP---XR-AA--7": {POS: VERB,"morph": "Animacy=Inan|Gender=Fem,Masc|Number=Plur|Polarity=Pos|Style=Coll|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqTP---XR-NA--2": {POS: VERB,"morph": "Animacy=Inan|Gender=Fem,Masc|Number=Plur|Polarity=Neg|Style=Arch|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqTP---XR-NA--3": {POS: VERB,"morph": "Animacy=Inan|Gender=Fem,Masc|Number=Plur|Polarity=Neg|Style=Arch|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqTP---XR-NA--7": {POS: VERB,"morph": "Animacy=Inan|Gender=Fem,Masc|Number=Plur|Polarity=Neg|Style=Coll|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqYS---XR-AA--2": {POS: VERB,"morph": "Gender=Masc|Number=Sing|Polarity=Pos|Style=Arch|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqYS---XR-AA--3": {POS: VERB,"morph": "Gender=Masc|Number=Sing|Polarity=Pos|Style=Arch|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqYS---XR-AA--7": {POS: VERB,"morph": "Gender=Masc|Number=Sing|Polarity=Pos|Style=Coll|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqYS---XR-NA--2": {POS: VERB,"morph": "Gender=Masc|Number=Sing|Polarity=Neg|Style=Arch|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqYS---XR-NA--3": {POS: VERB,"morph": "Gender=Masc|Number=Sing|Polarity=Neg|Style=Arch|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VqYS---XR-NA--7": {POS: VERB,"morph": "Gender=Masc|Number=Sing|Polarity=Neg|Style=Coll|Tense=Past|VerbForm=Part|VerbType=Verbconj|Voice=Act"}, - "VsFS---2H-AP---": {POS: VERB,"morph": "Gender=Fem|Number=Sing|Person=2|Polarity=Pos|Tense=Past,Pres|VerbForm=Part|Voice=Pass"}, - "VsFS---2H-AP--2": {POS: VERB,"morph": "Gender=Fem|Number=Sing|Person=2|Polarity=Pos|Style=Arch|Tense=Past,Pres|VerbForm=Part|Voice=Pass"}, - "VsFS---2H-NP---": {POS: VERB,"morph": "Gender=Fem|Number=Sing|Person=2|Polarity=Neg|Tense=Past,Pres|VerbForm=Part|Voice=Pass"}, - "VsFS---2H-NP--2": {POS: VERB,"morph": "Gender=Fem|Number=Sing|Person=2|Polarity=Neg|Style=Arch|Tense=Past,Pres|VerbForm=Part|Voice=Pass"}, - "VsFS4--XX-AP---": {POS: VERB, "morph": "Case=Acc|Gender=Fem|Number=Sing|Polarity=Pos|VerbForm=Part|Voice=Pass"}, - "VsFS4--XX-AP--2": {POS: VERB,"morph": "Case=Acc|Gender=Fem|Number=Sing|Polarity=Pos|Style=Arch|VerbForm=Part|Voice=Pass"}, - "VsFS4--XX-NP---": {POS: VERB, "morph": "Case=Acc|Gender=Fem|Number=Sing|Polarity=Neg|VerbForm=Part|Voice=Pass"}, - "VsFS4--XX-NP--2": {POS: VERB,"morph": "Case=Acc|Gender=Fem|Number=Sing|Polarity=Neg|Style=Arch|VerbForm=Part|Voice=Pass"}, - "VsMP---XX-AP---": {POS: VERB,"morph": "Animacy=Anim|Gender=Masc|Number=Plur|Polarity=Pos|VerbForm=Part|Voice=Pass"}, - "VsMP---XX-AP--2": {POS: VERB,"morph": "Animacy=Anim|Gender=Masc|Number=Plur|Polarity=Pos|Style=Arch|VerbForm=Part|Voice=Pass"}, - "VsMP---XX-NP---": {POS: VERB,"morph": "Animacy=Anim|Gender=Masc|Number=Plur|Polarity=Neg|VerbForm=Part|Voice=Pass"}, - "VsMP---XX-NP--2": {POS: VERB,"morph": "Animacy=Anim|Gender=Masc|Number=Plur|Polarity=Neg|Style=Arch|VerbForm=Part|Voice=Pass"}, - "VsNS---2H-AP---": {POS: VERB,"morph": "Gender=Neut|Number=Sing|Person=2|Polarity=Pos|Tense=Past,Pres|VerbForm=Part|Voice=Pass"}, - "VsNS---2H-AP--2": {POS: VERB,"morph": "Gender=Neut|Number=Sing|Person=2|Polarity=Pos|Style=Arch|Tense=Past,Pres|VerbForm=Part|Voice=Pass"}, - "VsNS---2H-NP---": {POS: VERB,"morph": "Gender=Neut|Number=Sing|Person=2|Polarity=Neg|Tense=Past,Pres|VerbForm=Part|Voice=Pass"}, - "VsNS---2H-NP--2": {POS: VERB,"morph": "Gender=Neut|Number=Sing|Person=2|Polarity=Neg|Style=Arch|Tense=Past,Pres|VerbForm=Part|Voice=Pass"}, - "VsNS---XX-AP---": {POS: VERB, "morph": "Gender=Neut|Number=Sing|Polarity=Pos|VerbForm=Part|Voice=Pass"}, - "VsNS---XX-AP--2": {POS: VERB, "morph": "Gender=Neut|Number=Sing|Polarity=Pos|Style=Arch|VerbForm=Part|Voice=Pass"}, - "VsNS---XX-NP---": {POS: VERB, "morph": "Gender=Neut|Number=Sing|Polarity=Neg|VerbForm=Part|Voice=Pass"}, - "VsNS---XX-NP--2": {POS: VERB, "morph": "Gender=Neut|Number=Sing|Polarity=Neg|Style=Arch|VerbForm=Part|Voice=Pass"}, - "VsQW---XX-AP---": {POS: VERB, "morph": "Gender=Fem,Neut|Number=Plur,Sing|Polarity=Pos|VerbForm=Part|Voice=Pass"}, - "VsQW---XX-AP--2": {POS: VERB,"morph": "Gender=Fem,Neut|Number=Plur,Sing|Polarity=Pos|Style=Arch|VerbForm=Part|Voice=Pass"}, - "VsQW---XX-NP---": {POS: VERB, "morph": "Gender=Fem,Neut|Number=Plur,Sing|Polarity=Neg|VerbForm=Part|Voice=Pass"}, - "VsQW---XX-NP--2": {POS: VERB,"morph": "Gender=Fem,Neut|Number=Plur,Sing|Polarity=Neg|Style=Arch|VerbForm=Part|Voice=Pass"}, - "VsTP---XX-AP---": {POS: VERB,"morph": "Animacy=Inan|Gender=Fem,Masc|Number=Plur|Polarity=Pos|VerbForm=Part|Voice=Pass"}, - "VsTP---XX-AP--2": {POS: VERB,"morph": "Animacy=Inan|Gender=Fem,Masc|Number=Plur|Polarity=Pos|Style=Arch|VerbForm=Part|Voice=Pass"}, - "VsTP---XX-NP---": {POS: VERB,"morph": "Animacy=Inan|Gender=Fem,Masc|Number=Plur|Polarity=Neg|VerbForm=Part|Voice=Pass"}, - "VsTP---XX-NP--2": {POS: VERB,"morph": "Animacy=Inan|Gender=Fem,Masc|Number=Plur|Polarity=Neg|Style=Arch|VerbForm=Part|Voice=Pass"}, - "VsYS---2H-AP---": {POS: VERB,"morph": "Gender=Masc|Number=Sing|Person=2|Polarity=Pos|Tense=Past,Pres|VerbForm=Part|Voice=Pass"}, - "VsYS---XX-AP---": {POS: VERB, "morph": "Gender=Masc|Number=Sing|Polarity=Pos|VerbForm=Part|Voice=Pass"}, - "VsYS---XX-AP--2": {POS: VERB, "morph": "Gender=Masc|Number=Sing|Polarity=Pos|Style=Arch|VerbForm=Part|Voice=Pass"}, - "VsYS---XX-NP---": {POS: VERB, "morph": "Gender=Masc|Number=Sing|Polarity=Neg|VerbForm=Part|Voice=Pass"}, - "VsYS---XX-NP--2": {POS: VERB, "morph": "Gender=Masc|Number=Sing|Polarity=Neg|Style=Arch|VerbForm=Part|Voice=Pass"}, - "Vt-P---1F-AA--2": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=1|Polarity=Pos|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---1F-AA--3": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=1|Polarity=Pos|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---1F-NA--2": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=1|Polarity=Neg|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---1F-NA--3": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=1|Polarity=Neg|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---1P-AA--2": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=1|Polarity=Pos|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---1P-AA--3": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=1|Polarity=Pos|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---1P-NA--2": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=1|Polarity=Neg|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---1P-NA--3": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=1|Polarity=Neg|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---2F-AA--2": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=2|Polarity=Pos|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---2F-NA--2": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=2|Polarity=Neg|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---2P-AA--2": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=2|Polarity=Pos|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---2P-NA--2": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=2|Polarity=Neg|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---3F-AA--2": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=3|Polarity=Pos|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---3F-AA--3": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=3|Polarity=Pos|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---3F-NA--2": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=3|Polarity=Neg|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---3F-NA--3": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=3|Polarity=Neg|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---3P-AA--2": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=3|Polarity=Pos|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---3P-AA--3": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=3|Polarity=Pos|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---3P-AA--9": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=3|Polarity=Pos|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---3P-NA--2": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=3|Polarity=Neg|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---3P-NA--3": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=3|Polarity=Neg|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-P---3P-NA--9": {POS: VERB,"morph": "Mood=Ind|Number=Plur|Person=3|Polarity=Neg|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---1F-AA--2": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=1|Polarity=Pos|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---1F-AA--3": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=1|Polarity=Pos|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---1F-NA--2": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=1|Polarity=Neg|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---1F-NA--3": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=1|Polarity=Neg|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---1P-AA--2": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=1|Polarity=Pos|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---1P-AA--3": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=1|Polarity=Pos|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---1P-NA--2": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=1|Polarity=Neg|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---1P-NA--3": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=1|Polarity=Neg|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---2F-AA--2": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=2|Polarity=Pos|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---2F-NA--2": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=2|Polarity=Neg|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---2P-AA--2": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=2|Polarity=Pos|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---2P-NA--2": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=2|Polarity=Neg|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---3F-AA--2": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=3|Polarity=Pos|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---3F-NA--2": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=3|Polarity=Neg|Style=Arch|Tense=Fut|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---3P-AA--2": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=3|Polarity=Pos|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "Vt-S---3P-NA--2": {POS: VERB,"morph": "Mood=Ind|Number=Sing|Person=3|Polarity=Neg|Style=Arch|Tense=Pres|VerbForm=Fin|VerbType=Verbconj|Voice=Act"}, - "X@-------------": {POS: X, "morph": "_"}, - "X@------------0": {POS: X, "morph": "_"}, - "X@------------1": {POS: X, "morph": "_"}, - "Xx-------------": {POS: X, "morph": "Abbr=Yes"}, - "XX-------------": {POS: X, "morph": "_"}, - "XX------------8": {POS: X, "morph": "Abbr=Yes"}, - "Z:-------------": {POS: PUNCT, "morph": "_"}, - "Z#-------------": {POS: PUNCT, "morph": "PunctType=Root"}, -} diff --git a/spacy/lang/mk/lemmatizer.py b/spacy/lang/mk/lemmatizer.py index f7126bd36..eb07694b4 100644 --- a/spacy/lang/mk/lemmatizer.py +++ b/spacy/lang/mk/lemmatizer.py @@ -14,7 +14,7 @@ class MacedonianLemmatizer(Lemmatizer): if univ_pos in ("", "eol", "space"): return [string.lower()] - if string[-3:] == 'ั˜ัœะธ': + if string[-3:] == "ั˜ัœะธ": string = string[:-3] univ_pos = "verb" @@ -23,7 +23,13 @@ class MacedonianLemmatizer(Lemmatizer): index_table = self.lookups.get_table("lemma_index", {}) exc_table = self.lookups.get_table("lemma_exc", {}) rules_table = self.lookups.get_table("lemma_rules", {}) - if not any((index_table.get(univ_pos), exc_table.get(univ_pos), rules_table.get(univ_pos))): + if not any( + ( + index_table.get(univ_pos), + exc_table.get(univ_pos), + rules_table.get(univ_pos), + ) + ): if univ_pos == "propn": return [string] else: diff --git a/spacy/lang/mk/lex_attrs.py b/spacy/lang/mk/lex_attrs.py index ffe8fe727..1d8f63112 100644 --- a/spacy/lang/mk/lex_attrs.py +++ b/spacy/lang/mk/lex_attrs.py @@ -1,21 +1,104 @@ from ...attrs import LIKE_NUM _num_words = [ - "ะฝัƒะปะฐ", "ะตะดะตะฝ", "ะตะดะฝะฐ", "ะตะดะฝะพ", "ะดะฒะฐ", "ะดะฒะต", "ั‚ั€ะธ", "ั‡ะตั‚ะธั€ะธ", "ะฟะตั‚", "ัˆะตัั‚", "ัะตะดัƒะผ", "ะพััƒะผ", "ะดะตะฒะตั‚", "ะดะตัะตั‚", - "ะตะดะธะฝะฐะตัะตั‚", "ะดะฒะฐะฝะฐะตัะตั‚", "ั‚ั€ะธะฝะฐะตัะตั‚", "ั‡ะตั‚ะธั€ะธะฝะฐะตัะตั‚", "ะฟะตั‚ะฝะฐะตัะตั‚", "ัˆะตัะฝะฐะตัะตั‚", "ัะตะดัƒะผะฝะฐะตัะตั‚", "ะพััƒะผะฝะฐะตัะตั‚", - "ะดะตะฒะตั‚ะฝะฐะตัะตั‚", "ะดะฒะฐะตัะตั‚", "ั‚ั€ะธะตัะตั‚", "ั‡ะตั‚ะธั€ะธะตัะตั‚", "ะฟะตะดะตัะตั‚", "ัˆะตะตัะตั‚", "ัะตะดัƒะผะดะตัะตั‚", "ะพััƒะผะดะตัะตั‚", "ะดะตะฒะตะดะตัะตั‚", - "ัั‚ะพ", "ะดะฒะตัั‚ะต", "ั‚ั€ะธัั‚ะฐ", "ั‡ะตั‚ะธั€ะธัั‚ะพั‚ะธะฝะธ", "ะฟะตั‚ัั‚ะพั‚ะธะฝะธ", "ัˆะตัั‚ะพั‚ะธะฝะธ", "ัะตะดัƒะผัั‚ะพั‚ะธะฝะธ", "ะพััƒะผัั‚ะพั‚ะธะฝะธ", - "ะดะตะฒะตั‚ัั‚ะพั‚ะธะฝะธ", "ะธะปั˜ะฐะดะฐ", "ะธะปั˜ะฐะดะธ", 'ะผะธะปะธะพะฝ', 'ะผะธะปะธะพะฝะธ', 'ะผะธะปะธั˜ะฐั€ะดะฐ', 'ะผะธะปะธั˜ะฐั€ะดะธ', 'ะฑะธะปะธะพะฝ', 'ะฑะธะปะธะพะฝะธ', - - "ะดะฒะฐั˜ั†ะฐ", "ั‚ั€ะพั˜ั†ะฐ", "ั‡ะตั‚ะฒะพั€ะธั†ะฐ", "ะฟะตั‚ะผะธะฝะฐ", "ัˆะตัั‚ะผะธะฝะฐ", "ัะตะดัƒะผะผะธะฝะฐ", "ะพััƒะผะผะธะฝะฐ", "ะดะตะฒะตั‚ะผะธะฝะฐ", "ะพะฑะฐั‚ะฐ", "ะพะฑะฐั˜ั†ะฐั‚ะฐ", - - "ะฟั€ะฒ", "ะฒั‚ะพั€", "ั‚ั€ะตั‚", "ั‡ะตั‚ะฒั€ั‚", "ัะตะดะผ", "ะพัะผ", "ะดะฒะตัั‚ะพั‚ะธ", - - "ะดะฒะฐ-ั‚ั€ะธ", "ะดะฒะฐ-ั‚ั€ะธะตัะตั‚", "ะดะฒะฐ-ั‚ั€ะธะตัะตั‚ะผะธะฝะฐ", "ะดะฒะฐ-ั‚ั€ะธะฝะฐะตัะตั‚", "ะดะฒะฐ-ั‚ั€ะพั˜ั†ะฐ", "ะดะฒะต-ั‚ั€ะธ", "ะดะฒะต-ั‚ั€ะธัั‚ะพั‚ะธะฝะธ", - "ะฟะตั‚-ัˆะตะตัะตั‚", "ะฟะตั‚-ัˆะตะตัะตั‚ะผะธะฝะฐ", "ะฟะตั‚-ัˆะตัะฝะฐะตัะตั‚ะผะธะฝะฐ", "ะฟะตั‚-ัˆะตัั‚", "ะฟะตั‚-ัˆะตัั‚ะผะธะฝะฐ", "ะฟะตั‚-ัˆะตัั‚ะพั‚ะธะฝะธ", "ะฟะตั‚ะธะฝะฐ", - "ะพัะผะธะฝะฐ", "ัะตะดัƒะผ-ะพััƒะผ", "ัะตะดัƒะผ-ะพััƒะผะดะตัะตั‚", "ัะตะดัƒะผ-ะพััƒะผะผะธะฝะฐ", "ัะตะดัƒะผ-ะพััƒะผะฝะฐะตัะตั‚", "ัะตะดัƒะผ-ะพััƒะผะฝะฐะตัะตั‚ะผะธะฝะฐ", - "ั‚ั€ะธ-ั‡ะตั‚ะธั€ะธะตัะตั‚", "ั‚ั€ะธ-ั‡ะตั‚ะธั€ะธะฝะฐะตัะตั‚", "ัˆะตะตัะตั‚", "ัˆะตะตัะตั‚ะธะฝะฐ", "ัˆะตะตัะตั‚ะผะธะฝะฐ", "ัˆะตัะฝะฐะตัะตั‚", "ัˆะตัะฝะฐะตัะตั‚ะผะธะฝะฐ", - "ัˆะตัั‚-ัะตะดัƒะผ", "ัˆะตัั‚-ัะตะดัƒะผะดะตัะตั‚", "ัˆะตัั‚-ัะตะดัƒะผะฝะฐะตัะตั‚", "ัˆะตัั‚-ัะตะดัƒะผัั‚ะพั‚ะธะฝะธ", "ัˆะตัั‚ะพั‚ะธ", "ัˆะตัั‚ะพั‚ะธะฝะธ" + "ะฝัƒะปะฐ", + "ะตะดะตะฝ", + "ะตะดะฝะฐ", + "ะตะดะฝะพ", + "ะดะฒะฐ", + "ะดะฒะต", + "ั‚ั€ะธ", + "ั‡ะตั‚ะธั€ะธ", + "ะฟะตั‚", + "ัˆะตัั‚", + "ัะตะดัƒะผ", + "ะพััƒะผ", + "ะดะตะฒะตั‚", + "ะดะตัะตั‚", + "ะตะดะธะฝะฐะตัะตั‚", + "ะดะฒะฐะฝะฐะตัะตั‚", + "ั‚ั€ะธะฝะฐะตัะตั‚", + "ั‡ะตั‚ะธั€ะธะฝะฐะตัะตั‚", + "ะฟะตั‚ะฝะฐะตัะตั‚", + "ัˆะตัะฝะฐะตัะตั‚", + "ัะตะดัƒะผะฝะฐะตัะตั‚", + "ะพััƒะผะฝะฐะตัะตั‚", + "ะดะตะฒะตั‚ะฝะฐะตัะตั‚", + "ะดะฒะฐะตัะตั‚", + "ั‚ั€ะธะตัะตั‚", + "ั‡ะตั‚ะธั€ะธะตัะตั‚", + "ะฟะตะดะตัะตั‚", + "ัˆะตะตัะตั‚", + "ัะตะดัƒะผะดะตัะตั‚", + "ะพััƒะผะดะตัะตั‚", + "ะดะตะฒะตะดะตัะตั‚", + "ัั‚ะพ", + "ะดะฒะตัั‚ะต", + "ั‚ั€ะธัั‚ะฐ", + "ั‡ะตั‚ะธั€ะธัั‚ะพั‚ะธะฝะธ", + "ะฟะตั‚ัั‚ะพั‚ะธะฝะธ", + "ัˆะตัั‚ะพั‚ะธะฝะธ", + "ัะตะดัƒะผัั‚ะพั‚ะธะฝะธ", + "ะพััƒะผัั‚ะพั‚ะธะฝะธ", + "ะดะตะฒะตั‚ัั‚ะพั‚ะธะฝะธ", + "ะธะปั˜ะฐะดะฐ", + "ะธะปั˜ะฐะดะธ", + "ะผะธะปะธะพะฝ", + "ะผะธะปะธะพะฝะธ", + "ะผะธะปะธั˜ะฐั€ะดะฐ", + "ะผะธะปะธั˜ะฐั€ะดะธ", + "ะฑะธะปะธะพะฝ", + "ะฑะธะปะธะพะฝะธ", + "ะดะฒะฐั˜ั†ะฐ", + "ั‚ั€ะพั˜ั†ะฐ", + "ั‡ะตั‚ะฒะพั€ะธั†ะฐ", + "ะฟะตั‚ะผะธะฝะฐ", + "ัˆะตัั‚ะผะธะฝะฐ", + "ัะตะดัƒะผะผะธะฝะฐ", + "ะพััƒะผะผะธะฝะฐ", + "ะดะตะฒะตั‚ะผะธะฝะฐ", + "ะพะฑะฐั‚ะฐ", + "ะพะฑะฐั˜ั†ะฐั‚ะฐ", + "ะฟั€ะฒ", + "ะฒั‚ะพั€", + "ั‚ั€ะตั‚", + "ั‡ะตั‚ะฒั€ั‚", + "ัะตะดะผ", + "ะพัะผ", + "ะดะฒะตัั‚ะพั‚ะธ", + "ะดะฒะฐ-ั‚ั€ะธ", + "ะดะฒะฐ-ั‚ั€ะธะตัะตั‚", + "ะดะฒะฐ-ั‚ั€ะธะตัะตั‚ะผะธะฝะฐ", + "ะดะฒะฐ-ั‚ั€ะธะฝะฐะตัะตั‚", + "ะดะฒะฐ-ั‚ั€ะพั˜ั†ะฐ", + "ะดะฒะต-ั‚ั€ะธ", + "ะดะฒะต-ั‚ั€ะธัั‚ะพั‚ะธะฝะธ", + "ะฟะตั‚-ัˆะตะตัะตั‚", + "ะฟะตั‚-ัˆะตะตัะตั‚ะผะธะฝะฐ", + "ะฟะตั‚-ัˆะตัะฝะฐะตัะตั‚ะผะธะฝะฐ", + "ะฟะตั‚-ัˆะตัั‚", + "ะฟะตั‚-ัˆะตัั‚ะผะธะฝะฐ", + "ะฟะตั‚-ัˆะตัั‚ะพั‚ะธะฝะธ", + "ะฟะตั‚ะธะฝะฐ", + "ะพัะผะธะฝะฐ", + "ัะตะดัƒะผ-ะพััƒะผ", + "ัะตะดัƒะผ-ะพััƒะผะดะตัะตั‚", + "ัะตะดัƒะผ-ะพััƒะผะผะธะฝะฐ", + "ัะตะดัƒะผ-ะพััƒะผะฝะฐะตัะตั‚", + "ัะตะดัƒะผ-ะพััƒะผะฝะฐะตัะตั‚ะผะธะฝะฐ", + "ั‚ั€ะธ-ั‡ะตั‚ะธั€ะธะตัะตั‚", + "ั‚ั€ะธ-ั‡ะตั‚ะธั€ะธะฝะฐะตัะตั‚", + "ัˆะตะตัะตั‚", + "ัˆะตะตัะตั‚ะธะฝะฐ", + "ัˆะตะตัะตั‚ะผะธะฝะฐ", + "ัˆะตัะฝะฐะตัะตั‚", + "ัˆะตัะฝะฐะตัะตั‚ะผะธะฝะฐ", + "ัˆะตัั‚-ัะตะดัƒะผ", + "ัˆะตัั‚-ัะตะดัƒะผะดะตัะตั‚", + "ัˆะตัั‚-ัะตะดัƒะผะฝะฐะตัะตั‚", + "ัˆะตัั‚-ัะตะดัƒะผัั‚ะพั‚ะธะฝะธ", + "ัˆะตัั‚ะพั‚ะธ", + "ัˆะตัั‚ะพั‚ะธะฝะธ", ] diff --git a/spacy/lang/mk/tokenizer_exceptions.py b/spacy/lang/mk/tokenizer_exceptions.py index 1a359ba53..3b589b2a9 100644 --- a/spacy/lang/mk/tokenizer_exceptions.py +++ b/spacy/lang/mk/tokenizer_exceptions.py @@ -21,8 +21,7 @@ _abbr_exc = [ {ORTH: "ั…ะป", NORM: "ั…ะตะบั‚ะพะปะธั‚ะฐั€"}, {ORTH: "ะดะบะป", NORM: "ะดะตะบะฐะปะธั‚ะฐั€"}, {ORTH: "ะป", NORM: "ะปะธั‚ะฐั€"}, - {ORTH: "ะดะป", NORM: "ะดะตั†ะธะปะธั‚ะฐั€"} - + {ORTH: "ะดะป", NORM: "ะดะตั†ะธะปะธั‚ะฐั€"}, ] for abbr in _abbr_exc: _exc[abbr[ORTH]] = [abbr] @@ -33,7 +32,6 @@ _abbr_line_exc = [ {ORTH: "ะณ-ั“ะฐ", NORM: "ะณะพัะฟะพั“ะฐ"}, {ORTH: "ะณ-ั†ะฐ", NORM: "ะณะพัะฟะพั“ะธั†ะฐ"}, {ORTH: "ะณ-ะดะธะฝ", NORM: "ะณะพัะฟะพะดะธะฝ"}, - ] for abbr in _abbr_line_exc: @@ -54,7 +52,6 @@ _abbr_dot_exc = [ {ORTH: "ั‚.", NORM: "ั‚ะพั‡ะบะฐ"}, {ORTH: "ั‚.ะต.", NORM: "ั‚ะพ ะตัั‚"}, {ORTH: "ั‚.ะฝ.", NORM: "ั‚ะฐะบะฐะฝะฐั€ะตั‡ะตะฝ"}, - {ORTH: "ะฑั€.", NORM: "ะฑั€ะพั˜"}, {ORTH: "ะณั€.", NORM: "ะณั€ะฐะด"}, {ORTH: "ะดั€.", NORM: "ะดั€ัƒะณะฐั€"}, @@ -68,7 +65,6 @@ _abbr_dot_exc = [ {ORTH: "ั.", NORM: "ัั‚ั€ะฐะฝะธั†ะฐ"}, {ORTH: "ัั‚ั€.", NORM: "ัั‚ั€ะฐะฝะธั†ะฐ"}, {ORTH: "ั‡ะป.", NORM: "ั‡ะปะตะฝ"}, - {ORTH: "ะฐั€ั….", NORM: "ะฐั€ั…ะธั‚ะตะบั‚"}, {ORTH: "ะฑะตะป.", NORM: "ะฑะตะปะตัˆะบะฐ"}, {ORTH: "ะณะธะผะฝ.", NORM: "ะณะธะผะฝะฐะทะธั˜ะฐ"}, @@ -89,8 +85,6 @@ _abbr_dot_exc = [ {ORTH: "ะธัั‚ะพั€.", NORM: "ะธัั‚ะพั€ะธั˜ะฐ"}, {ORTH: "ะณะตะพะณั€.", NORM: "ะณะตะพะณั€ะฐั„ะธั˜ะฐ"}, {ORTH: "ะปะธั‚ะตั€.", NORM: "ะปะธั‚ะตั€ะฐั‚ัƒั€ะฐ"}, - - ] for abbr in _abbr_dot_exc: diff --git a/spacy/lang/tr/tokenizer_exceptions.py b/spacy/lang/tr/tokenizer_exceptions.py index 747905189..22fa9f09e 100644 --- a/spacy/lang/tr/tokenizer_exceptions.py +++ b/spacy/lang/tr/tokenizer_exceptions.py @@ -45,7 +45,7 @@ _abbr_period_exc = [ {ORTH: "Doรง.", NORM: "doรงent"}, {ORTH: "doฤŸ."}, {ORTH: "Dr.", NORM: "doktor"}, - {ORTH: "dr.", NORM:"doktor"}, + {ORTH: "dr.", NORM: "doktor"}, {ORTH: "drl.", NORM: "derleyen"}, {ORTH: "Dz.", NORM: "deniz"}, {ORTH: "Dz.K.K.lฤฑฤŸฤฑ"}, @@ -118,7 +118,7 @@ _abbr_period_exc = [ {ORTH: "Uzm.", NORM: "uzman"}, {ORTH: "รœรงvลŸ.", NORM: "รผstรงavuลŸ"}, {ORTH: "รœni.", NORM: "รผniversitesi"}, - {ORTH: "รœtฤŸm.", NORM: "รผsteฤŸmen"}, + {ORTH: "รœtฤŸm.", NORM: "รผsteฤŸmen"}, {ORTH: "vb."}, {ORTH: "vs.", NORM: "vesaire"}, {ORTH: "Yard.", NORM: "yardฤฑmcฤฑ"}, @@ -163,19 +163,29 @@ for abbr in _abbr_exc: _exc[abbr[ORTH]] = [abbr] - _num = r"[+-]?\d+([,.]\d+)*" _ord_num = r"(\d+\.)" _date = r"(((\d{1,2}[./-]){2})?(\d{4})|(\d{1,2}[./]\d{1,2}(\.)?))" _dash_num = r"(([{al}\d]+/\d+)|(\d+/[{al}]))".format(al=ALPHA) -_roman_num = "M{0,3}(?:C[MD]|D?C{0,3})(?:X[CL]|L?X{0,3})(?:I[XV]|V?I{0,3})" +_roman_num = "M{0,3}(?:C[MD]|D?C{0,3})(?:X[CL]|L?X{0,3})(?:I[XV]|V?I{0,3})" _roman_ord = r"({rn})\.".format(rn=_roman_num) _time_exp = r"\d+(:\d+)*" _inflections = r"'[{al}]+".format(al=ALPHA_LOWER) _abbrev_inflected = r"[{a}]+\.'[{al}]+".format(a=ALPHA, al=ALPHA_LOWER) -_nums = r"(({d})|({dn})|({te})|({on})|({n})|({ro})|({rn}))({inf})?".format(d=_date, dn=_dash_num, te=_time_exp, on=_ord_num, n=_num, ro=_roman_ord, rn=_roman_num, inf=_inflections) +_nums = r"(({d})|({dn})|({te})|({on})|({n})|({ro})|({rn}))({inf})?".format( + d=_date, + dn=_dash_num, + te=_time_exp, + on=_ord_num, + n=_num, + ro=_roman_ord, + rn=_roman_num, + inf=_inflections, +) TOKENIZER_EXCEPTIONS = _exc -TOKEN_MATCH = re.compile(r"^({abbr})|({n})$".format(n=_nums, abbr=_abbrev_inflected)).match +TOKEN_MATCH = re.compile( + r"^({abbr})|({n})$".format(n=_nums, abbr=_abbrev_inflected) +).match diff --git a/spacy/ml/extract_ngrams.py b/spacy/ml/extract_ngrams.py index 93878c81b..7e1cce884 100644 --- a/spacy/ml/extract_ngrams.py +++ b/spacy/ml/extract_ngrams.py @@ -1,4 +1,3 @@ -import numpy from thinc.api import Model from ..attrs import LOWER diff --git a/spacy/ml/models/parser.py b/spacy/ml/models/parser.py index fa6d7a72c..7ce0165a2 100644 --- a/spacy/ml/models/parser.py +++ b/spacy/ml/models/parser.py @@ -21,14 +21,14 @@ def transition_parser_v1( nO: Optional[int] = None, ) -> Model: return build_tb_parser_model( - tok2vec, - state_type, - extra_state_tokens, - hidden_width, - maxout_pieces, - use_upper, - nO, -) + tok2vec, + state_type, + extra_state_tokens, + hidden_width, + maxout_pieces, + use_upper, + nO, + ) @registry.architectures.register("spacy.TransitionBasedParser.v2") @@ -42,14 +42,15 @@ def transition_parser_v2( nO: Optional[int] = None, ) -> Model: return build_tb_parser_model( - tok2vec, - state_type, - extra_state_tokens, - hidden_width, - maxout_pieces, - use_upper, - nO, -) + tok2vec, + state_type, + extra_state_tokens, + hidden_width, + maxout_pieces, + use_upper, + nO, + ) + def build_tb_parser_model( tok2vec: Model[List[Doc], List[Floats2d]], @@ -162,8 +163,8 @@ def _resize_upper(model, new_nO): # just adding rows here. if smaller.has_dim("nO"): old_nO = smaller.get_dim("nO") - larger_W[: old_nO] = smaller_W - larger_b[: old_nO] = smaller_b + larger_W[:old_nO] = smaller_W + larger_b[:old_nO] = smaller_b for i in range(old_nO, new_nO): model.attrs["unseen_classes"].add(i) diff --git a/spacy/ml/models/textcat.py b/spacy/ml/models/textcat.py index 2ec036810..63dcb165a 100644 --- a/spacy/ml/models/textcat.py +++ b/spacy/ml/models/textcat.py @@ -70,13 +70,15 @@ def build_text_classifier_v2( with Model.define_operators({">>": chain, "|": concatenate}): width = tok2vec.maybe_get_dim("nO") cnn_model = ( - tok2vec - >> list2ragged() - >> ParametricAttention(width) # TODO: benchmark performance difference of this layer - >> reduce_sum() - >> residual(Maxout(nO=width, nI=width)) - >> Linear(nO=nO, nI=width) - >> Dropout(0.0) + tok2vec + >> list2ragged() + >> ParametricAttention( + width + ) # TODO: benchmark performance difference of this layer + >> reduce_sum() + >> residual(Maxout(nO=width, nI=width)) + >> Linear(nO=nO, nI=width) + >> Dropout(0.0) ) nO_double = nO * 2 if nO else None @@ -92,6 +94,7 @@ def build_text_classifier_v2( model.attrs["multi_label"] = not exclusive_classes return model + # TODO: move to legacy @registry.architectures.register("spacy.TextCatEnsemble.v1") def build_text_classifier_v1( diff --git a/spacy/ml/staticvectors.py b/spacy/ml/staticvectors.py index 71d825905..ea4c7fb77 100644 --- a/spacy/ml/staticvectors.py +++ b/spacy/ml/staticvectors.py @@ -47,8 +47,7 @@ def forward( except ValueError: raise RuntimeError(Errors.E896) output = Ragged( - vectors_data, - model.ops.asarray([len(doc) for doc in docs], dtype="i") + vectors_data, model.ops.asarray([len(doc) for doc in docs], dtype="i") ) mask = None if is_train: diff --git a/spacy/ml/tb_framework.py b/spacy/ml/tb_framework.py index 0bb639c19..4ab5830cd 100644 --- a/spacy/ml/tb_framework.py +++ b/spacy/ml/tb_framework.py @@ -1,8 +1,10 @@ -from thinc.api import Model, noop, use_ops, Linear +from thinc.api import Model, noop from .parser_model import ParserStepModel -def TransitionModel(tok2vec, lower, upper, resize_output, dropout=0.2, unseen_classes=set()): +def TransitionModel( + tok2vec, lower, upper, resize_output, dropout=0.2, unseen_classes=set() +): """Set up a stepwise transition-based model""" if upper is None: has_upper = False @@ -44,4 +46,3 @@ def init(model, X=None, Y=None): if model.attrs["has_upper"]: statevecs = model.ops.alloc2f(2, lower.get_dim("nO")) model.get_ref("upper").initialize(X=statevecs) - diff --git a/spacy/pipeline/attributeruler.py b/spacy/pipeline/attributeruler.py index 68e26c4be..0a34d712a 100644 --- a/spacy/pipeline/attributeruler.py +++ b/spacy/pipeline/attributeruler.py @@ -226,6 +226,7 @@ class AttributeRuler(Pipe): DOCS: https://nightly.spacy.io/api/tagger#score """ + def morph_key_getter(token, attr): return getattr(token, attr).key @@ -240,8 +241,16 @@ class AttributeRuler(Pipe): elif attr == POS: results.update(Scorer.score_token_attr(examples, "pos", **kwargs)) elif attr == MORPH: - results.update(Scorer.score_token_attr(examples, "morph", getter=morph_key_getter, **kwargs)) - results.update(Scorer.score_token_attr_per_feat(examples, "morph", getter=morph_key_getter, **kwargs)) + results.update( + Scorer.score_token_attr( + examples, "morph", getter=morph_key_getter, **kwargs + ) + ) + results.update( + Scorer.score_token_attr_per_feat( + examples, "morph", getter=morph_key_getter, **kwargs + ) + ) elif attr == LEMMA: results.update(Scorer.score_token_attr(examples, "lemma", **kwargs)) return results diff --git a/spacy/scorer.py b/spacy/scorer.py index 371dbd776..1c1a56371 100644 --- a/spacy/scorer.py +++ b/spacy/scorer.py @@ -3,7 +3,7 @@ import numpy as np from collections import defaultdict from .training import Example -from .tokens import Token, Doc, Span, MorphAnalysis +from .tokens import Token, Doc, Span from .errors import Errors from .util import get_lang_class, SimpleFrozenList from .morphology import Morphology @@ -176,7 +176,7 @@ class Scorer: "token_acc": None, "token_p": None, "token_r": None, - "token_f": None + "token_f": None, } @staticmethod @@ -276,7 +276,10 @@ class Scorer: if gold_i not in missing_indices: value = getter(token, attr) morph = gold_doc.vocab.strings[value] - if value not in missing_values and morph != Morphology.EMPTY_MORPH: + if ( + value not in missing_values + and morph != Morphology.EMPTY_MORPH + ): for feat in morph.split(Morphology.FEATURE_SEP): field, values = feat.split(Morphology.FIELD_SEP) if field not in per_feat: @@ -367,7 +370,6 @@ class Scorer: f"{attr}_per_type": None, } - @staticmethod def score_cats( examples: Iterable[Example], @@ -473,7 +475,10 @@ class Scorer: macro_f = sum(prf.fscore for prf in f_per_type.values()) / n_cats # Limit macro_auc to those labels with gold annotations, # but still divide by all cats to avoid artificial boosting of datasets with missing labels - macro_auc = sum(auc.score if auc.is_binary() else 0.0 for auc in auc_per_type.values()) / n_cats + macro_auc = ( + sum(auc.score if auc.is_binary() else 0.0 for auc in auc_per_type.values()) + / n_cats + ) results = { f"{attr}_score": None, f"{attr}_score_desc": None, @@ -485,7 +490,9 @@ class Scorer: f"{attr}_macro_f": macro_f, f"{attr}_macro_auc": macro_auc, f"{attr}_f_per_type": {k: v.to_dict() for k, v in f_per_type.items()}, - f"{attr}_auc_per_type": {k: v.score if v.is_binary() else None for k, v in auc_per_type.items()}, + f"{attr}_auc_per_type": { + k: v.score if v.is_binary() else None for k, v in auc_per_type.items() + }, } if len(labels) == 2 and not multi_label and positive_label: positive_label_f = results[f"{attr}_f_per_type"][positive_label]["f"] @@ -675,8 +682,7 @@ class Scorer: def get_ner_prf(examples: Iterable[Example]) -> Dict[str, Any]: - """Compute micro-PRF and per-entity PRF scores for a sequence of examples. - """ + """Compute micro-PRF and per-entity PRF scores for a sequence of examples.""" score_per_type = defaultdict(PRFScore) for eg in examples: if not eg.y.has_annotation("ENT_IOB"): diff --git a/spacy/tests/doc/test_doc_api.py b/spacy/tests/doc/test_doc_api.py index 04eb0e092..fcadca061 100644 --- a/spacy/tests/doc/test_doc_api.py +++ b/spacy/tests/doc/test_doc_api.py @@ -154,10 +154,10 @@ def test_doc_api_serialize(en_tokenizer, text): logger = logging.getLogger("spacy") with mock.patch.object(logger, "warning") as mock_warning: - _ = tokens.to_bytes() + _ = tokens.to_bytes() # noqa: F841 mock_warning.assert_not_called() tokens.user_hooks["similarity"] = inner_func - _ = tokens.to_bytes() + _ = tokens.to_bytes() # noqa: F841 mock_warning.assert_called_once() diff --git a/spacy/tests/lang/mk/test_text.py b/spacy/tests/lang/mk/test_text.py index bf99d5fd6..b8881082c 100644 --- a/spacy/tests/lang/mk/test_text.py +++ b/spacy/tests/lang/mk/test_text.py @@ -4,21 +4,21 @@ from spacy.lang.mk.lex_attrs import like_num def test_tokenizer_handles_long_text(mk_tokenizer): text = """ - ะ’ะพ ะพั€ะณะฐะฝะธะทะฐั†ะธัะบะธั‚ะต ั€ะฐะฑะพั‚ะธ ะธะปะธ ะฝะฐ ะฝะฐัˆะธั‚ะต ัะพะฑั€ะฐะฝะธั˜ะฐ ัะพ ั‡ะปะตะฝัั‚ะฒะพั‚ะพ, ะฝะธะบะพั˜ ะพะด ะฝะฐั ะฝะต ะทะฑะพั€ัƒะฒะฐัˆะต ะทะฐ - ะพั€ะณะฐะฝะธะทะฐั†ะธั˜ะฐั‚ะฐ ะธ ะธะดะตะพะปะพะณะธั˜ะฐั‚ะฐ. ะ ะฐะฑะพั‚ะฝะฐ ะฑะตัˆะต ะฝะฐัˆะฐั‚ะฐ ั€ะฐะฑะพั‚ะฐ, ะฐ ะฝะต ะธะดะตะพะปะพัˆะบะฐ. ะจั‚ะพ ัะต ะพะดะฝะตััƒะฒะฐ ะดะพ ัะพั†ะธั˜ะฐะปะธะทะผะพั‚ ะฝะฐ - ะ”ะตะปั‡ะตะฒ, ะฝะตะณะพะฒะฐั‚ะฐ ะดะตั˜ะฝะพัั‚ ะทะฑะพั€ัƒะฒะฐ ัะฐะผะฐ ะทะฐ ัะตะฑะต - ัะฟั€ะพั‚ะธะฒะฝะพ. ะ’ะพ ััƒัˆั‚ะธะฝะฐ, ะฒะพะดะฐั‡ะธั‚ะต ัะธ ะธะผะฐะฐ ัะฒะพะธ ะพัะฝะพะฒะฝะธ ะฟะพะณะปะตะดะธ ะธ - ัะฒะพะธ ั€ะฐะทะฑะธั€ะฐัšะฐ ะทะฐ ะฟะพะปะพะถะฑะฐั‚ะฐ ะธ ั€ะฐะฑะพั‚ะธั‚ะต, ะบะพะธัˆั‚ะพ ัั‚ะพะตั˜ะฐ ะฟั€ะตะด ะฝะธะฒ ะธ ะณะธ ะทะฐะฒั€ัˆัƒะฒะฐะฐ ัะพ ะณะพะปะตะผะฐ ัƒะฟะพั€ะฝะพัั‚, ะฝะฐัั‚ะพั˜ั‡ะธะฒะพัั‚ ะธ - ะฝะฐัะพั‡ะตะฝะพัั‚. ะ—ะฝะฐั‡ะธ, ะธะดะตะพะปะพะณะธั˜ะฐ ะธะผะฐัˆะต, ัะฐะผะพ ัˆั‚ะพ ะฝะธะฒะฝะฐั‚ะฐ ะธะดะตะพะปะพะณะธั˜ะฐ ะธะผะฐัˆะต ัะฒะพั˜ะฐ ะพั€ะธะณะธะฝะฐะปะฝะพัั‚. ะœะฐะบะตะดะพะฝะธั˜ะฐ ะดะตะฝะตัะบะฐ, - ั‡ะธัั‚ะฐ ั€ะพะถะฑะฐ ะฝะฐ ะถะธะฒะพั‚ะพั‚ ะธ ะฟะพะปะพะถะฑะฐั‚ะฐ ะฒะพ ะœะฐะบะตะดะพะฝะธั˜ะฐ, ะบะพะธ ะผัƒ ัะปัƒะถะตะฐ ะบะฐะบะพ ะฑะฐะทะฐ ะฝะฐ ะฝะตะณะพะฒะธั‚ะต ะฟะพะฑัƒะดะธ, ะฑะตัˆะต ะดะตั˜ะฝะพัั‚ ะบะพั˜ะฐ - ะธะผะฐัˆะต ะฟะพั‚ั€ะตะฑะฐ ะพะด ัƒะผ ะทะฐ ะดะฐ ัะธ ะฝะฐั˜ะดะต ัะฒะพั˜ะฐ ัะผะธัะปะฐ. ะขะฐะบะฒะฐั‚ะฐ ะธะดะตะพะปะพะณะธั˜ะฐ ะธ ะทะฐะตะผะฝะพั‚ะพ ะดะตั˜ัั‚ะฒะพ ะฝะฐ ัƒะผะพั‚ ะธ ัั€ั†ะตั‚ะพ ะผัƒ - ะฟะพะผะพะณะฝะฐะฐ ะฝะฐ ะ”ะตะปั‡ะตะฒ ะดะฐ ะฝะต ัะต ะทะฐะฝะตัะต ะฟะพ ะฟะฐั‚ะพั‚ ะฝะฐ ัะฒะพั˜ะฐั‚ะฐ ะธะดะตะพะปะพะณะธั˜ะฐ... ะ’ะพ ััƒัˆั‚ะธะฝะฐ, ะžั€ะณะฐะฝะธะทะฐั†ะธั˜ะฐั‚ะฐ ะธ ะฝะตั˜ะทะธะฝะธั‚ะต - ะฒะพะดะฐั‡ะธ ะธะผะฐะฐ ัะฒะพะธ ั€ะฐะทะฑะธั€ะฐัšะฐ ะทะฐ ั€ะฐะฑะพั‚ะธั‚ะต ะธ ะฟะพะปะพะถะฑะฐั‚ะฐ ะฒะพ ะธะดะตะตะฝ ะฟะพะณะปะตะด, ะฝะพ ั‚ะพะฐ ะฑะตัˆะต ะฒั€ัะบะฐั‚ะฐ, ะถะธะฒะพั‚ะพั‚ ะธ ะฟะพะปะพะถะฑะฐั‚ะฐ ะฒะพ - ะœะฐะบะตะดะพะฝะธั˜ะฐ ะธ ะณะพ ะฒะฝะตััƒะฒะฐะฐ ะฒะพ ัะฒะพั˜ะฐั‚ะฐ ะธะดะตะพะปะพะณะธั˜ะฐ ะณะปะฐัะพั‚ ะฝะฐ ัะฒะพะตั‚ะพ ัั€ั†ะต, ะธ ะฝะฐ ะบั€ะฐั˜, ะฟั€ะธะฑะตะณะฝัƒะฒะฐะฐ ะดะพ ัƒะผะพั‚, - ะทะฐ ะดะฐ ะฝะฐั˜ะดะฐั‚ ัะผะธัะปะฐ ะธะปะธ ะดะฐ ั ะดะฐะดะฐั‚. ะขะพะฐ ัะพะดะตั˜ัั‚ะฒะพ ะธ ะทะฐะตะผะตะฝ ัะพะพะดะฝะพั ะฝะฐ ัƒะผะพั‚ ะธ ัั€ั†ะตั‚ะพ ะผัƒ ะฟะพะผะพะณะฝะฐะฐ ะฝะฐ ะ”ะตะปั‡ะตะฒ ะดะฐ ั˜ะฐ - ะดั€ะถะธ ัะฒะพั˜ะฐั‚ะฐ ะธะดะตะพะปะพะณะธั˜ะฐ ะฒะพ ัะพะพะฑั€ะฐะทะฝะพัั‚ ัะพ ะฟะพะปะพะถะฑะฐั‚ะฐ ะฝะฐ ั€ะฐะฑะพั‚ะธั‚ะต... ะ’ะพะดะฐั‡ะธั‚ะต ะฝะฐะฒะธัั‚ะธะฝะฐ ะฝะฐะฟั€ะฐะฒะธั˜ะฐ ะตะดะฝะฐ ะถั€ั‚ะฒะฐ - ะฑะธะดะตั˜ัœะธ ะฝะฐ ะฝะฐัะตะปะตะฝะธะตั‚ะพ ะฝะต ะผัƒ ะทะฑะพั€ัƒะฒะฐะฐ ะทะฐ ัะฒะพะธั‚ะต ะผะธัะปะธ ะธ ะธะดะตะธ. ะขะธะต ัะต ะพะดั€ะตะบะพะฐ ะพะด ัะตะบะฐะบะฒะฐ ััƒะฑั˜ะตะบั‚ะธะฒะฝะพัั‚ ะฒะพ ัะฒะพะธั‚ะต - ะผะธัะปะธ. ะฆะตะปั‚ะฐ ะฑะตัˆะต ะดะฐ ะฝะต ัะต ะทะณะพะปะตะผัƒะฒะฐะฐั‚ ั†ะตะปะธั‚ะต ะธ ะทะฐะดะฐั‡ะธั‚ะต ะบะฐะบะพ ะธ ะฟั€ะตะดะฐะฝะพัั‚ะฐ ะฒะพ ั€ะฐะฑะพั‚ะฐั‚ะฐ. ะะฐัะตะปะตะฝะธะตั‚ะพ ะฝะต ะผะพะถะตัˆะต ะดะฐ - ะณะธ ั€ะฐะทะฑะตั€ะต ะพะฒะธะต ะธะดะตะธ... + ะ’ะพ ะพั€ะณะฐะฝะธะทะฐั†ะธัะบะธั‚ะต ั€ะฐะฑะพั‚ะธ ะธะปะธ ะฝะฐ ะฝะฐัˆะธั‚ะต ัะพะฑั€ะฐะฝะธั˜ะฐ ัะพ ั‡ะปะตะฝัั‚ะฒะพั‚ะพ, ะฝะธะบะพั˜ ะพะด ะฝะฐั ะฝะต ะทะฑะพั€ัƒะฒะฐัˆะต ะทะฐ + ะพั€ะณะฐะฝะธะทะฐั†ะธั˜ะฐั‚ะฐ ะธ ะธะดะตะพะปะพะณะธั˜ะฐั‚ะฐ. ะ ะฐะฑะพั‚ะฝะฐ ะฑะตัˆะต ะฝะฐัˆะฐั‚ะฐ ั€ะฐะฑะพั‚ะฐ, ะฐ ะฝะต ะธะดะตะพะปะพัˆะบะฐ. ะจั‚ะพ ัะต ะพะดะฝะตััƒะฒะฐ ะดะพ ัะพั†ะธั˜ะฐะปะธะทะผะพั‚ ะฝะฐ + ะ”ะตะปั‡ะตะฒ, ะฝะตะณะพะฒะฐั‚ะฐ ะดะตั˜ะฝะพัั‚ ะทะฑะพั€ัƒะฒะฐ ัะฐะผะฐ ะทะฐ ัะตะฑะต - ัะฟั€ะพั‚ะธะฒะฝะพ. ะ’ะพ ััƒัˆั‚ะธะฝะฐ, ะฒะพะดะฐั‡ะธั‚ะต ัะธ ะธะผะฐะฐ ัะฒะพะธ ะพัะฝะพะฒะฝะธ ะฟะพะณะปะตะดะธ ะธ + ัะฒะพะธ ั€ะฐะทะฑะธั€ะฐัšะฐ ะทะฐ ะฟะพะปะพะถะฑะฐั‚ะฐ ะธ ั€ะฐะฑะพั‚ะธั‚ะต, ะบะพะธัˆั‚ะพ ัั‚ะพะตั˜ะฐ ะฟั€ะตะด ะฝะธะฒ ะธ ะณะธ ะทะฐะฒั€ัˆัƒะฒะฐะฐ ัะพ ะณะพะปะตะผะฐ ัƒะฟะพั€ะฝะพัั‚, ะฝะฐัั‚ะพั˜ั‡ะธะฒะพัั‚ ะธ + ะฝะฐัะพั‡ะตะฝะพัั‚. ะ—ะฝะฐั‡ะธ, ะธะดะตะพะปะพะณะธั˜ะฐ ะธะผะฐัˆะต, ัะฐะผะพ ัˆั‚ะพ ะฝะธะฒะฝะฐั‚ะฐ ะธะดะตะพะปะพะณะธั˜ะฐ ะธะผะฐัˆะต ัะฒะพั˜ะฐ ะพั€ะธะณะธะฝะฐะปะฝะพัั‚. ะœะฐะบะตะดะพะฝะธั˜ะฐ ะดะตะฝะตัะบะฐ, + ั‡ะธัั‚ะฐ ั€ะพะถะฑะฐ ะฝะฐ ะถะธะฒะพั‚ะพั‚ ะธ ะฟะพะปะพะถะฑะฐั‚ะฐ ะฒะพ ะœะฐะบะตะดะพะฝะธั˜ะฐ, ะบะพะธ ะผัƒ ัะปัƒะถะตะฐ ะบะฐะบะพ ะฑะฐะทะฐ ะฝะฐ ะฝะตะณะพะฒะธั‚ะต ะฟะพะฑัƒะดะธ, ะฑะตัˆะต ะดะตั˜ะฝะพัั‚ ะบะพั˜ะฐ + ะธะผะฐัˆะต ะฟะพั‚ั€ะตะฑะฐ ะพะด ัƒะผ ะทะฐ ะดะฐ ัะธ ะฝะฐั˜ะดะต ัะฒะพั˜ะฐ ัะผะธัะปะฐ. ะขะฐะบะฒะฐั‚ะฐ ะธะดะตะพะปะพะณะธั˜ะฐ ะธ ะทะฐะตะผะฝะพั‚ะพ ะดะตั˜ัั‚ะฒะพ ะฝะฐ ัƒะผะพั‚ ะธ ัั€ั†ะตั‚ะพ ะผัƒ + ะฟะพะผะพะณะฝะฐะฐ ะฝะฐ ะ”ะตะปั‡ะตะฒ ะดะฐ ะฝะต ัะต ะทะฐะฝะตัะต ะฟะพ ะฟะฐั‚ะพั‚ ะฝะฐ ัะฒะพั˜ะฐั‚ะฐ ะธะดะตะพะปะพะณะธั˜ะฐ... ะ’ะพ ััƒัˆั‚ะธะฝะฐ, ะžั€ะณะฐะฝะธะทะฐั†ะธั˜ะฐั‚ะฐ ะธ ะฝะตั˜ะทะธะฝะธั‚ะต + ะฒะพะดะฐั‡ะธ ะธะผะฐะฐ ัะฒะพะธ ั€ะฐะทะฑะธั€ะฐัšะฐ ะทะฐ ั€ะฐะฑะพั‚ะธั‚ะต ะธ ะฟะพะปะพะถะฑะฐั‚ะฐ ะฒะพ ะธะดะตะตะฝ ะฟะพะณะปะตะด, ะฝะพ ั‚ะพะฐ ะฑะตัˆะต ะฒั€ัะบะฐั‚ะฐ, ะถะธะฒะพั‚ะพั‚ ะธ ะฟะพะปะพะถะฑะฐั‚ะฐ ะฒะพ + ะœะฐะบะตะดะพะฝะธั˜ะฐ ะธ ะณะพ ะฒะฝะตััƒะฒะฐะฐ ะฒะพ ัะฒะพั˜ะฐั‚ะฐ ะธะดะตะพะปะพะณะธั˜ะฐ ะณะปะฐัะพั‚ ะฝะฐ ัะฒะพะตั‚ะพ ัั€ั†ะต, ะธ ะฝะฐ ะบั€ะฐั˜, ะฟั€ะธะฑะตะณะฝัƒะฒะฐะฐ ะดะพ ัƒะผะพั‚, + ะทะฐ ะดะฐ ะฝะฐั˜ะดะฐั‚ ัะผะธัะปะฐ ะธะปะธ ะดะฐ ั ะดะฐะดะฐั‚. ะขะพะฐ ัะพะดะตั˜ัั‚ะฒะพ ะธ ะทะฐะตะผะตะฝ ัะพะพะดะฝะพั ะฝะฐ ัƒะผะพั‚ ะธ ัั€ั†ะตั‚ะพ ะผัƒ ะฟะพะผะพะณะฝะฐะฐ ะฝะฐ ะ”ะตะปั‡ะตะฒ ะดะฐ ั˜ะฐ + ะดั€ะถะธ ัะฒะพั˜ะฐั‚ะฐ ะธะดะตะพะปะพะณะธั˜ะฐ ะฒะพ ัะพะพะฑั€ะฐะทะฝะพัั‚ ัะพ ะฟะพะปะพะถะฑะฐั‚ะฐ ะฝะฐ ั€ะฐะฑะพั‚ะธั‚ะต... ะ’ะพะดะฐั‡ะธั‚ะต ะฝะฐะฒะธัั‚ะธะฝะฐ ะฝะฐะฟั€ะฐะฒะธั˜ะฐ ะตะดะฝะฐ ะถั€ั‚ะฒะฐ + ะฑะธะดะตั˜ัœะธ ะฝะฐ ะฝะฐัะตะปะตะฝะธะตั‚ะพ ะฝะต ะผัƒ ะทะฑะพั€ัƒะฒะฐะฐ ะทะฐ ัะฒะพะธั‚ะต ะผะธัะปะธ ะธ ะธะดะตะธ. ะขะธะต ัะต ะพะดั€ะตะบะพะฐ ะพะด ัะตะบะฐะบะฒะฐ ััƒะฑั˜ะตะบั‚ะธะฒะฝะพัั‚ ะฒะพ ัะฒะพะธั‚ะต + ะผะธัะปะธ. ะฆะตะปั‚ะฐ ะฑะตัˆะต ะดะฐ ะฝะต ัะต ะทะณะพะปะตะผัƒะฒะฐะฐั‚ ั†ะตะปะธั‚ะต ะธ ะทะฐะดะฐั‡ะธั‚ะต ะบะฐะบะพ ะธ ะฟั€ะตะดะฐะฝะพัั‚ะฐ ะฒะพ ั€ะฐะฑะพั‚ะฐั‚ะฐ. ะะฐัะตะปะตะฝะธะตั‚ะพ ะฝะต ะผะพะถะตัˆะต ะดะฐ + ะณะธ ั€ะฐะทะฑะตั€ะต ะพะฒะธะต ะธะดะตะธ... """ tokens = mk_tokenizer(text) assert len(tokens) == 297 @@ -45,7 +45,7 @@ def test_tokenizer_handles_long_text(mk_tokenizer): (",", False), ("ะผะธะปะธั˜ะฐั€ะดะฐ", True), ("ะฑะธะปะธะพะฝ", True), - ] + ], ) def test_mk_lex_attrs_like_number(mk_tokenizer, word, match): tokens = mk_tokenizer(word) @@ -53,14 +53,7 @@ def test_mk_lex_attrs_like_number(mk_tokenizer, word, match): assert tokens[0].like_num == match -@pytest.mark.parametrize( - "word", - [ - "ะดะฒะตัั‚ะต", - "ะดะฒะฐ-ั‚ั€ะธ", - "ะฟะตั‚-ัˆะตัั‚" - ] -) +@pytest.mark.parametrize("word", ["ะดะฒะตัั‚ะต", "ะดะฒะฐ-ั‚ั€ะธ", "ะฟะตั‚-ัˆะตัั‚"]) def test_mk_lex_attrs_capitals(word): assert like_num(word) assert like_num(word.upper()) @@ -77,8 +70,8 @@ def test_mk_lex_attrs_capitals(word): "ะฟะตั‚ั‚ะพ", "ัั‚ะพั‚ะธ", "ัˆะตะตัะตั‚ะธั‚ะต", - "ัะตะดัƒะผะดะตัะตั‚ะธั‚ะต" - ] + "ัะตะดัƒะผะดะตัะตั‚ะธั‚ะต", + ], ) def test_mk_lex_attrs_like_number_for_ordinal(word): assert like_num(word) diff --git a/spacy/tests/lang/tr/test_text.py b/spacy/tests/lang/tr/test_text.py index 6e684af30..a12971e82 100644 --- a/spacy/tests/lang/tr/test_text.py +++ b/spacy/tests/lang/tr/test_text.py @@ -5,24 +5,22 @@ from spacy.lang.tr.lex_attrs import like_num def test_tr_tokenizer_handles_long_text(tr_tokenizer): text = """Pamuk nasฤฑl ipliฤŸe dรถnรผลŸtรผrรผlรผr? -SฤฑkฤฑลŸtฤฑrฤฑlmฤฑลŸ balyalar halindeki pamuk, iplik fabrikasฤฑna getirildiฤŸinde hem -lifleri birbirine dolaลŸmฤฑลŸtฤฑr, hem de tarladan toplanฤฑrken araya bitkinin -parรงalarฤฑ karฤฑลŸmฤฑลŸtฤฑr. รœstelik balyalardaki pamuฤŸun cinsi aynฤฑ olsa bile kalitesi +SฤฑkฤฑลŸtฤฑrฤฑlmฤฑลŸ balyalar halindeki pamuk, iplik fabrikasฤฑna getirildiฤŸinde hem +lifleri birbirine dolaลŸmฤฑลŸtฤฑr, hem de tarladan toplanฤฑrken araya bitkinin +parรงalarฤฑ karฤฑลŸmฤฑลŸtฤฑr. รœstelik balyalardaki pamuฤŸun cinsi aynฤฑ olsa bile kalitesi deฤŸiลŸeceฤŸinden, รถnce bรผtรผn balyalarฤฑn birbirine karฤฑลŸtฤฑrฤฑlarak harmanlanmasฤฑ gerekir. -Daha sonra pamuk yฤฑฤŸฤฑnlarฤฑ, liflerin aรงฤฑlฤฑp temizlenmesi iรงin tek bir birim halinde +Daha sonra pamuk yฤฑฤŸฤฑnlarฤฑ, liflerin aรงฤฑlฤฑp temizlenmesi iรงin tek bir birim halinde birleลŸtirilmiลŸ รงeลŸitli makinelerden geรงirilir.Bunlardan biri, dรถnen tokmaklarฤฑyla pamuฤŸu dรถvรผp kabartarak daฤŸฤฑnฤฑk yumaklar haline getiren ve liflerin arasฤฑndaki yabancฤฑ maddeleri temizleyen hallaรง makinesidir. Daha sonra tarak makinesine giren pamuk demetleri, herbirinin yรผzeyinde yรผzbinlerce incecik iฤŸne bulunan dรถner silindirlerin arasฤฑndan geรงerek lif lif ayrฤฑlฤฑr -ve tรผl inceliฤŸinde gevลŸek bir รถrtรผye dรถnรผลŸรผr. Ama bir sonraki makine bu lifleri daฤŸฤฑnฤฑk +ve tรผl inceliฤŸinde gevลŸek bir รถrtรผye dรถnรผลŸรผr. Ama bir sonraki makine bu lifleri daฤŸฤฑnฤฑk ve gevลŸek bir biรงimde birbirine yaklaลŸtฤฑrarak 2 cm eninde bir pamuk ลŸeridi haline getirir.""" tokens = tr_tokenizer(text) assert len(tokens) == 146 - - @pytest.mark.parametrize( "word", [ diff --git a/spacy/tests/lang/tr/test_tokenizer.py b/spacy/tests/lang/tr/test_tokenizer.py index ebab5dc3e..2ceca5068 100644 --- a/spacy/tests/lang/tr/test_tokenizer.py +++ b/spacy/tests/lang/tr/test_tokenizer.py @@ -2,145 +2,692 @@ import pytest ABBREV_TESTS = [ - ("Dr. Murat Bey ile gรถrรผลŸtรผm.", ["Dr.", "Murat", "Bey", "ile", "gรถrรผลŸtรผm", "."]), - ("Dr.la gรถrรผลŸtรผm.", ["Dr.la", "gรถrรผลŸtรผm", "."]), - ("Dr.'la gรถrรผลŸtรผm.", ["Dr.'la", "gรถrรผลŸtรผm", "."]), - ("TBMM'de รงalฤฑลŸฤฑyormuลŸ.", ["TBMM'de", "รงalฤฑลŸฤฑyormuลŸ", "."]), - ("Hem ฤฐst. hem Ank. bu konuda gayet iyi durumda.", ["Hem", "ฤฐst.", "hem", "Ank.", "bu", "konuda", "gayet", "iyi", "durumda", "."]), - ("Hem ฤฐst. hem Ank.'da yaฤŸฤฑลŸ var.", ["Hem", "ฤฐst.", "hem", "Ank.'da", "yaฤŸฤฑลŸ", "var", "."]), - ("Dr.", ["Dr."]), - ("Yrd.Doรง.", ["Yrd.Doรง."]), - ("Prof.'un", ["Prof.'un"]), - ("Bรถl.'nde", ["Bรถl.'nde"]), + ("Dr. Murat Bey ile gรถrรผลŸtรผm.", ["Dr.", "Murat", "Bey", "ile", "gรถrรผลŸtรผm", "."]), + ("Dr.la gรถrรผลŸtรผm.", ["Dr.la", "gรถrรผลŸtรผm", "."]), + ("Dr.'la gรถrรผลŸtรผm.", ["Dr.'la", "gรถrรผลŸtรผm", "."]), + ("TBMM'de รงalฤฑลŸฤฑyormuลŸ.", ["TBMM'de", "รงalฤฑลŸฤฑyormuลŸ", "."]), + ( + "Hem ฤฐst. hem Ank. bu konuda gayet iyi durumda.", + ["Hem", "ฤฐst.", "hem", "Ank.", "bu", "konuda", "gayet", "iyi", "durumda", "."], + ), + ( + "Hem ฤฐst. hem Ank.'da yaฤŸฤฑลŸ var.", + ["Hem", "ฤฐst.", "hem", "Ank.'da", "yaฤŸฤฑลŸ", "var", "."], + ), + ("Dr.", ["Dr."]), + ("Yrd.Doรง.", ["Yrd.Doรง."]), + ("Prof.'un", ["Prof.'un"]), + ("Bรถl.'nde", ["Bรถl.'nde"]), ] - URL_TESTS = [ - ("Bizler de www.duygu.com.tr adฤฑnda bir websitesi kurduk.", ["Bizler", "de", "www.duygu.com.tr", "adฤฑnda", "bir", "websitesi", "kurduk", "."]), - ("Bizler de https://www.duygu.com.tr adฤฑnda bir websitesi kurduk.", ["Bizler", "de", "https://www.duygu.com.tr", "adฤฑnda", "bir", "websitesi", "kurduk", "."]), - ("Bizler de www.duygu.com.tr'dan satฤฑn aldฤฑk.", ["Bizler", "de", "www.duygu.com.tr'dan", "satฤฑn", "aldฤฑk", "."]), - ("Bizler de https://www.duygu.com.tr'dan satฤฑn aldฤฑk.", ["Bizler", "de", "https://www.duygu.com.tr'dan", "satฤฑn", "aldฤฑk", "."]), + ( + "Bizler de www.duygu.com.tr adฤฑnda bir websitesi kurduk.", + [ + "Bizler", + "de", + "www.duygu.com.tr", + "adฤฑnda", + "bir", + "websitesi", + "kurduk", + ".", + ], + ), + ( + "Bizler de https://www.duygu.com.tr adฤฑnda bir websitesi kurduk.", + [ + "Bizler", + "de", + "https://www.duygu.com.tr", + "adฤฑnda", + "bir", + "websitesi", + "kurduk", + ".", + ], + ), + ( + "Bizler de www.duygu.com.tr'dan satฤฑn aldฤฑk.", + ["Bizler", "de", "www.duygu.com.tr'dan", "satฤฑn", "aldฤฑk", "."], + ), + ( + "Bizler de https://www.duygu.com.tr'dan satฤฑn aldฤฑk.", + ["Bizler", "de", "https://www.duygu.com.tr'dan", "satฤฑn", "aldฤฑk", "."], + ), ] - NUMBER_TESTS = [ - ("Rakamla 6 yazฤฑlฤฑydฤฑ.", ["Rakamla", "6", "yazฤฑlฤฑydฤฑ", "."]), - ("Hava -4 dereceydi.", ["Hava", "-4", "dereceydi", "."]), - ("Hava sฤฑcaklฤฑฤŸฤฑ -4ten +6ya yรผkseldi.", ["Hava", "sฤฑcaklฤฑฤŸฤฑ", "-4ten", "+6ya", "yรผkseldi", "."]), - ("Hava sฤฑcaklฤฑฤŸฤฑ -4'ten +6'ya yรผkseldi.", ["Hava", "sฤฑcaklฤฑฤŸฤฑ", "-4'ten", "+6'ya", "yรผkseldi", "."]), - ("YarฤฑลŸta 6. oldum.", ["YarฤฑลŸta", "6.", "oldum", "."]), - ("YarฤฑลŸta 438547745. oldum.", ["YarฤฑลŸta", "438547745.", "oldum", "."]), - ("Kitap IV. Murat hakkฤฑnda.",["Kitap", "IV.", "Murat", "hakkฤฑnda", "."]), - #("Bana sรถylediฤŸi sayฤฑ 6.", ["Bana", "sรถylediฤŸi", "sayฤฑ", "6", "."]), - ("Saat 6'da buluลŸalฤฑm.", ["Saat", "6'da", "buluลŸalฤฑm", "."]), - ("Saat 6dan sonra buluลŸalฤฑm.", ["Saat", "6dan", "sonra", "buluลŸalฤฑm", "."]), - ("6.dan sonra saymadฤฑm.", ["6.dan", "sonra", "saymadฤฑm", "."]), - ("6.'dan sonra saymadฤฑm.", ["6.'dan", "sonra", "saymadฤฑm", "."]), - ("Saat 6'ydฤฑ.", ["Saat", "6'ydฤฑ", "."]), - ("5'te", ["5'te"]), - ("6'da", ["6'da"]), - ("9dan", ["9dan"]), - ("19'da", ["19'da"]), - ("VI'da", ["VI'da"]), - ("5.", ["5."]), - ("72.", ["72."]), - ("VI.", ["VI."]), - ("6.'dan", ["6.'dan"]), - ("19.'dan", ["19.'dan"]), - ("6.dan", ["6.dan"]), - ("16.dan", ["16.dan"]), - ("VI.'dan", ["VI.'dan"]), - ("VI.dan", ["VI.dan"]), - ("Hepsi 1994 yฤฑlฤฑnda oldu.", ["Hepsi", "1994", "yฤฑlฤฑnda", "oldu", "."]), - ("Hepsi 1994'te oldu.", ["Hepsi", "1994'te", "oldu", "."]), - ("2/3 tarihli faturayฤฑ bulamadฤฑm.", ["2/3", "tarihli", "faturayฤฑ", "bulamadฤฑm", "."]), - ("2.3 tarihli faturayฤฑ bulamadฤฑm.", ["2.3", "tarihli", "faturayฤฑ", "bulamadฤฑm", "."]), - ("2.3. tarihli faturayฤฑ bulamadฤฑm.", ["2.3.", "tarihli", "faturayฤฑ", "bulamadฤฑm", "."]), - ("2/3/2020 tarihli faturayฤฑ bulamadm.", ["2/3/2020", "tarihli", "faturayฤฑ", "bulamadm", "."]), - ("2/3/1987 tarihinden beri burda yaลŸฤฑyorum.", ["2/3/1987", "tarihinden", "beri", "burda", "yaลŸฤฑyorum", "."]), - ("2-3-1987 tarihinden beri burdayฤฑm.", ["2-3-1987", "tarihinden", "beri", "burdayฤฑm", "."]), - ("2.3.1987 tarihinden beri burdayฤฑm.", ["2.3.1987", "tarihinden", "beri", "burdayฤฑm", "."]), - ("Bu olay 2005-2006 tarihleri arasฤฑnda oldu.", ["Bu", "olay", "2005", "-", "2006", "tarihleri", "arasฤฑnda", "oldu", "."]), - ("Bu olay 4/12/2005-21/3/2006 tarihleri arasฤฑnda oldu.", ["Bu", "olay", "4/12/2005", "-", "21/3/2006", "tarihleri", "arasฤฑnda", "oldu", ".",]), - ("Ek fฤฑkra: 5/11/2003-4999/3 maddesine gรถre uygundur.", ["Ek", "fฤฑkra", ":", "5/11/2003", "-", "4999/3", "maddesine", "gรถre", "uygundur", "."]), - ("2/A alanlarฤฑ: 6831 sayฤฑlฤฑ Kanunun 2nci maddesinin birinci fฤฑkrasฤฑnฤฑn (A) bendine gรถre", ["2/A", "alanlarฤฑ", ":", "6831", "sayฤฑlฤฑ", "Kanunun", "2nci", "maddesinin", "birinci", "fฤฑkrasฤฑnฤฑn", "(", "A", ")", "bendine", "gรถre"]), - ("ลžEHฤฐTTEฤžMENKALMAZ Cad. No: 2/311", ["ลžEHฤฐTTEฤžMENKALMAZ", "Cad.", "No", ":", "2/311"]), - ("2-3-2025", ["2-3-2025",]), - ("2/3/2025", ["2/3/2025"]), - ("Yฤฑllardฤฑr 0.5 uรง kullanฤฑyorum.", ["Yฤฑllardฤฑr", "0.5", "uรง", "kullanฤฑyorum", "."]), - ("Kan deฤŸerlerim 0.5-0.7 arasฤฑydฤฑ.", ["Kan", "deฤŸerlerim", "0.5", "-", "0.7", "arasฤฑydฤฑ", "."]), - ("0.5", ["0.5"]), - ("1/2", ["1/2"]), - ("%1", ["%", "1"]), - ("%1lik", ["%", "1lik"]), - ("%1'lik", ["%", "1'lik"]), - ("%1lik dilim", ["%", "1lik", "dilim"]), - ("%1'lik dilim", ["%", "1'lik", "dilim"]), - ("%1.5", ["%", "1.5"]), - #("%1-%2 arasฤฑ bรผyรผme bekleniyor.", ["%", "1", "-", "%", "2", "arasฤฑ", "bรผyรผme", "bekleniyor", "."]), - ("%1-2 arasฤฑ bรผyรผme bekliyoruz.", ["%", "1", "-", "2", "arasฤฑ", "bรผyรผme", "bekliyoruz", "."]), - ("%11-12 arasฤฑ bรผyรผme bekliyoruz.", ["%", "11", "-", "12", "arasฤฑ", "bรผyรผme", "bekliyoruz", "."]), - ("%1.5luk bรผyรผme bekliyoruz.", ["%", "1.5luk", "bรผyรผme", "bekliyoruz", "."]), - ("Saat 1-2 arasฤฑ gelin lรผtfen.", ["Saat", "1", "-", "2", "arasฤฑ", "gelin", "lรผtfen", "."]), - ("Saat 15:30 gibi buluลŸalฤฑm.", ["Saat", "15:30", "gibi", "buluลŸalฤฑm", "."]), - ("Saat 15:30'da buluลŸalฤฑm.", ["Saat", "15:30'da", "buluลŸalฤฑm", "."]), - ("Saat 15.30'da buluลŸalฤฑm.", ["Saat", "15.30'da", "buluลŸalฤฑm", "."]), - ("Saat 15.30da buluลŸalฤฑm.", ["Saat", "15.30da", "buluลŸalฤฑm", "."]), - ("Saat 15 civarฤฑ buluลŸalฤฑm.", ["Saat", "15", "civarฤฑ", "buluลŸalฤฑm", "."]), - ("9โ€™daki otobรผse binsek mi?", ["9โ€™daki", "otobรผse", "binsek", "mi", "?"]), - ("Okulumuz 3-B ลŸubesi", ["Okulumuz", "3-B", "ลŸubesi"]), - ("Okulumuz 3/B ลŸubesi", ["Okulumuz", "3/B", "ลŸubesi"]), - ("Okulumuz 3B ลŸubesi", ["Okulumuz", "3B", "ลŸubesi"]), - ("Okulumuz 3b ลŸubesi", ["Okulumuz", "3b", "ลŸubesi"]), - ("Antonio Gaudรญ 20. yรผzyฤฑlda, 1904-1914 yฤฑllarฤฑ arasฤฑnda on yฤฑl sรผren bir reform sรผreci getirmiลŸtir.", ["Antonio", "Gaudรญ", "20.", "yรผzyฤฑlda", ",", "1904", "-", "1914", "yฤฑllarฤฑ", "arasฤฑnda", "on", "yฤฑl", "sรผren", "bir", "reform", "sรผreci", "getirmiลŸtir", "."]), - ("Dizel yakฤฑtฤฑn avro bรถlgesi ortalamasฤฑ olan 1,165 avroya kฤฑyasla litre baลŸฤฑna 1,335 avroya mal olduฤŸunu gรถsteriyor.", ["Dizel", "yakฤฑtฤฑn", "avro", "bรถlgesi", "ortalamasฤฑ", "olan", "1,165", "avroya", "kฤฑyasla", "litre", "baลŸฤฑna", "1,335", "avroya", "mal", "olduฤŸunu", "gรถsteriyor", "."]), - ("Marcus Antonius M.ร–. 1 Ocak 49'da, Sezar'dan Vali'nin kendisini barฤฑลŸ dostu ilan ettiฤŸi bir bildiri yayฤฑnlamฤฑลŸtฤฑr.", ["Marcus", "Antonius", "M.ร–.", "1", "Ocak", "49'da", ",", "Sezar'dan", "Vali'nin", "kendisini", "barฤฑลŸ", "dostu", "ilan", "ettiฤŸi", "bir", "bildiri", "yayฤฑnlamฤฑลŸtฤฑr", "."]) + ("Rakamla 6 yazฤฑlฤฑydฤฑ.", ["Rakamla", "6", "yazฤฑlฤฑydฤฑ", "."]), + ("Hava -4 dereceydi.", ["Hava", "-4", "dereceydi", "."]), + ( + "Hava sฤฑcaklฤฑฤŸฤฑ -4ten +6ya yรผkseldi.", + ["Hava", "sฤฑcaklฤฑฤŸฤฑ", "-4ten", "+6ya", "yรผkseldi", "."], + ), + ( + "Hava sฤฑcaklฤฑฤŸฤฑ -4'ten +6'ya yรผkseldi.", + ["Hava", "sฤฑcaklฤฑฤŸฤฑ", "-4'ten", "+6'ya", "yรผkseldi", "."], + ), + ("YarฤฑลŸta 6. oldum.", ["YarฤฑลŸta", "6.", "oldum", "."]), + ("YarฤฑลŸta 438547745. oldum.", ["YarฤฑลŸta", "438547745.", "oldum", "."]), + ("Kitap IV. Murat hakkฤฑnda.", ["Kitap", "IV.", "Murat", "hakkฤฑnda", "."]), + # ("Bana sรถylediฤŸi sayฤฑ 6.", ["Bana", "sรถylediฤŸi", "sayฤฑ", "6", "."]), + ("Saat 6'da buluลŸalฤฑm.", ["Saat", "6'da", "buluลŸalฤฑm", "."]), + ("Saat 6dan sonra buluลŸalฤฑm.", ["Saat", "6dan", "sonra", "buluลŸalฤฑm", "."]), + ("6.dan sonra saymadฤฑm.", ["6.dan", "sonra", "saymadฤฑm", "."]), + ("6.'dan sonra saymadฤฑm.", ["6.'dan", "sonra", "saymadฤฑm", "."]), + ("Saat 6'ydฤฑ.", ["Saat", "6'ydฤฑ", "."]), + ("5'te", ["5'te"]), + ("6'da", ["6'da"]), + ("9dan", ["9dan"]), + ("19'da", ["19'da"]), + ("VI'da", ["VI'da"]), + ("5.", ["5."]), + ("72.", ["72."]), + ("VI.", ["VI."]), + ("6.'dan", ["6.'dan"]), + ("19.'dan", ["19.'dan"]), + ("6.dan", ["6.dan"]), + ("16.dan", ["16.dan"]), + ("VI.'dan", ["VI.'dan"]), + ("VI.dan", ["VI.dan"]), + ("Hepsi 1994 yฤฑlฤฑnda oldu.", ["Hepsi", "1994", "yฤฑlฤฑnda", "oldu", "."]), + ("Hepsi 1994'te oldu.", ["Hepsi", "1994'te", "oldu", "."]), + ( + "2/3 tarihli faturayฤฑ bulamadฤฑm.", + ["2/3", "tarihli", "faturayฤฑ", "bulamadฤฑm", "."], + ), + ( + "2.3 tarihli faturayฤฑ bulamadฤฑm.", + ["2.3", "tarihli", "faturayฤฑ", "bulamadฤฑm", "."], + ), + ( + "2.3. tarihli faturayฤฑ bulamadฤฑm.", + ["2.3.", "tarihli", "faturayฤฑ", "bulamadฤฑm", "."], + ), + ( + "2/3/2020 tarihli faturayฤฑ bulamadm.", + ["2/3/2020", "tarihli", "faturayฤฑ", "bulamadm", "."], + ), + ( + "2/3/1987 tarihinden beri burda yaลŸฤฑyorum.", + ["2/3/1987", "tarihinden", "beri", "burda", "yaลŸฤฑyorum", "."], + ), + ( + "2-3-1987 tarihinden beri burdayฤฑm.", + ["2-3-1987", "tarihinden", "beri", "burdayฤฑm", "."], + ), + ( + "2.3.1987 tarihinden beri burdayฤฑm.", + ["2.3.1987", "tarihinden", "beri", "burdayฤฑm", "."], + ), + ( + "Bu olay 2005-2006 tarihleri arasฤฑnda oldu.", + ["Bu", "olay", "2005", "-", "2006", "tarihleri", "arasฤฑnda", "oldu", "."], + ), + ( + "Bu olay 4/12/2005-21/3/2006 tarihleri arasฤฑnda oldu.", + [ + "Bu", + "olay", + "4/12/2005", + "-", + "21/3/2006", + "tarihleri", + "arasฤฑnda", + "oldu", + ".", + ], + ), + ( + "Ek fฤฑkra: 5/11/2003-4999/3 maddesine gรถre uygundur.", + [ + "Ek", + "fฤฑkra", + ":", + "5/11/2003", + "-", + "4999/3", + "maddesine", + "gรถre", + "uygundur", + ".", + ], + ), + ( + "2/A alanlarฤฑ: 6831 sayฤฑlฤฑ Kanunun 2nci maddesinin birinci fฤฑkrasฤฑnฤฑn (A) bendine gรถre", + [ + "2/A", + "alanlarฤฑ", + ":", + "6831", + "sayฤฑlฤฑ", + "Kanunun", + "2nci", + "maddesinin", + "birinci", + "fฤฑkrasฤฑnฤฑn", + "(", + "A", + ")", + "bendine", + "gรถre", + ], + ), + ( + "ลžEHฤฐTTEฤžMENKALMAZ Cad. No: 2/311", + ["ลžEHฤฐTTEฤžMENKALMAZ", "Cad.", "No", ":", "2/311"], + ), + ( + "2-3-2025", + [ + "2-3-2025", + ], + ), + ("2/3/2025", ["2/3/2025"]), + ("Yฤฑllardฤฑr 0.5 uรง kullanฤฑyorum.", ["Yฤฑllardฤฑr", "0.5", "uรง", "kullanฤฑyorum", "."]), + ( + "Kan deฤŸerlerim 0.5-0.7 arasฤฑydฤฑ.", + ["Kan", "deฤŸerlerim", "0.5", "-", "0.7", "arasฤฑydฤฑ", "."], + ), + ("0.5", ["0.5"]), + ("1/2", ["1/2"]), + ("%1", ["%", "1"]), + ("%1lik", ["%", "1lik"]), + ("%1'lik", ["%", "1'lik"]), + ("%1lik dilim", ["%", "1lik", "dilim"]), + ("%1'lik dilim", ["%", "1'lik", "dilim"]), + ("%1.5", ["%", "1.5"]), + # ("%1-%2 arasฤฑ bรผyรผme bekleniyor.", ["%", "1", "-", "%", "2", "arasฤฑ", "bรผyรผme", "bekleniyor", "."]), + ( + "%1-2 arasฤฑ bรผyรผme bekliyoruz.", + ["%", "1", "-", "2", "arasฤฑ", "bรผyรผme", "bekliyoruz", "."], + ), + ( + "%11-12 arasฤฑ bรผyรผme bekliyoruz.", + ["%", "11", "-", "12", "arasฤฑ", "bรผyรผme", "bekliyoruz", "."], + ), + ("%1.5luk bรผyรผme bekliyoruz.", ["%", "1.5luk", "bรผyรผme", "bekliyoruz", "."]), + ( + "Saat 1-2 arasฤฑ gelin lรผtfen.", + ["Saat", "1", "-", "2", "arasฤฑ", "gelin", "lรผtfen", "."], + ), + ("Saat 15:30 gibi buluลŸalฤฑm.", ["Saat", "15:30", "gibi", "buluลŸalฤฑm", "."]), + ("Saat 15:30'da buluลŸalฤฑm.", ["Saat", "15:30'da", "buluลŸalฤฑm", "."]), + ("Saat 15.30'da buluลŸalฤฑm.", ["Saat", "15.30'da", "buluลŸalฤฑm", "."]), + ("Saat 15.30da buluลŸalฤฑm.", ["Saat", "15.30da", "buluลŸalฤฑm", "."]), + ("Saat 15 civarฤฑ buluลŸalฤฑm.", ["Saat", "15", "civarฤฑ", "buluลŸalฤฑm", "."]), + ("9โ€™daki otobรผse binsek mi?", ["9โ€™daki", "otobรผse", "binsek", "mi", "?"]), + ("Okulumuz 3-B ลŸubesi", ["Okulumuz", "3-B", "ลŸubesi"]), + ("Okulumuz 3/B ลŸubesi", ["Okulumuz", "3/B", "ลŸubesi"]), + ("Okulumuz 3B ลŸubesi", ["Okulumuz", "3B", "ลŸubesi"]), + ("Okulumuz 3b ลŸubesi", ["Okulumuz", "3b", "ลŸubesi"]), + ( + "Antonio Gaudรญ 20. yรผzyฤฑlda, 1904-1914 yฤฑllarฤฑ arasฤฑnda on yฤฑl sรผren bir reform sรผreci getirmiลŸtir.", + [ + "Antonio", + "Gaudรญ", + "20.", + "yรผzyฤฑlda", + ",", + "1904", + "-", + "1914", + "yฤฑllarฤฑ", + "arasฤฑnda", + "on", + "yฤฑl", + "sรผren", + "bir", + "reform", + "sรผreci", + "getirmiลŸtir", + ".", + ], + ), + ( + "Dizel yakฤฑtฤฑn avro bรถlgesi ortalamasฤฑ olan 1,165 avroya kฤฑyasla litre baลŸฤฑna 1,335 avroya mal olduฤŸunu gรถsteriyor.", + [ + "Dizel", + "yakฤฑtฤฑn", + "avro", + "bรถlgesi", + "ortalamasฤฑ", + "olan", + "1,165", + "avroya", + "kฤฑyasla", + "litre", + "baลŸฤฑna", + "1,335", + "avroya", + "mal", + "olduฤŸunu", + "gรถsteriyor", + ".", + ], + ), + ( + "Marcus Antonius M.ร–. 1 Ocak 49'da, Sezar'dan Vali'nin kendisini barฤฑลŸ dostu ilan ettiฤŸi bir bildiri yayฤฑnlamฤฑลŸtฤฑr.", + [ + "Marcus", + "Antonius", + "M.ร–.", + "1", + "Ocak", + "49'da", + ",", + "Sezar'dan", + "Vali'nin", + "kendisini", + "barฤฑลŸ", + "dostu", + "ilan", + "ettiฤŸi", + "bir", + "bildiri", + "yayฤฑnlamฤฑลŸtฤฑr", + ".", + ], + ), ] PUNCT_TESTS = [ - ("Gitmedim dedim ya!", ["Gitmedim", "dedim", "ya", "!"]), - ("Gitmedim dedim ya!!", ["Gitmedim", "dedim", "ya", "!", "!"]), - ("Gitsek mi?", ["Gitsek", "mi", "?"]), - ("Gitsek mi??", ["Gitsek", "mi", "?", "?"]), - ("Gitsek mi?!?", ["Gitsek", "mi", "?", "!", "?"]), - ("Ankara - Antalya arasฤฑ otobรผs iลŸliyor.", ["Ankara", "-", "Antalya", "arasฤฑ", "otobรผs", "iลŸliyor", "."]), - ("Ankara-Antalya arasฤฑ otobรผs iลŸliyor.", ["Ankara", "-", "Antalya", "arasฤฑ", "otobรผs", "iลŸliyor", "."]), - ("Sen--ben, ya da onlar.", ["Sen", "--", "ben", ",", "ya", "da", "onlar", "."]), - ("Senden, benden, bizden ลŸarkฤฑsฤฑnฤฑ biliyor musun?", ["Senden", ",", "benden", ",", "bizden", "ลŸarkฤฑsฤฑnฤฑ", "biliyor", "musun", "?"]), - ("Akif'le geldik, sonra da o ayrฤฑldฤฑ.", ["Akif'le", "geldik", ",", "sonra", "da", "o", "ayrฤฑldฤฑ", "."]), - ("Bu adam ne dedi ลŸimdi???", ["Bu", "adam", "ne", "dedi", "ลŸimdi", "?", "?", "?"]), - ("Yok hasta olmuลŸ, yok annesi hastaymฤฑลŸ, bahaneler iลŸte...", ["Yok", "hasta", "olmuลŸ", ",", "yok", "annesi", "hastaymฤฑลŸ", ",", "bahaneler", "iลŸte", "..."]), - ("Ankara'dan ฤฐstanbul'a ... bir aลŸk hikayesi.", ["Ankara'dan", "ฤฐstanbul'a", "...", "bir", "aลŸk", "hikayesi", "."]), - ("Ahmet'te", ["Ahmet'te"]), - ("ฤฐstanbul'da", ["ฤฐstanbul'da"]), + ("Gitmedim dedim ya!", ["Gitmedim", "dedim", "ya", "!"]), + ("Gitmedim dedim ya!!", ["Gitmedim", "dedim", "ya", "!", "!"]), + ("Gitsek mi?", ["Gitsek", "mi", "?"]), + ("Gitsek mi??", ["Gitsek", "mi", "?", "?"]), + ("Gitsek mi?!?", ["Gitsek", "mi", "?", "!", "?"]), + ( + "Ankara - Antalya arasฤฑ otobรผs iลŸliyor.", + ["Ankara", "-", "Antalya", "arasฤฑ", "otobรผs", "iลŸliyor", "."], + ), + ( + "Ankara-Antalya arasฤฑ otobรผs iลŸliyor.", + ["Ankara", "-", "Antalya", "arasฤฑ", "otobรผs", "iลŸliyor", "."], + ), + ("Sen--ben, ya da onlar.", ["Sen", "--", "ben", ",", "ya", "da", "onlar", "."]), + ( + "Senden, benden, bizden ลŸarkฤฑsฤฑnฤฑ biliyor musun?", + ["Senden", ",", "benden", ",", "bizden", "ลŸarkฤฑsฤฑnฤฑ", "biliyor", "musun", "?"], + ), + ( + "Akif'le geldik, sonra da o ayrฤฑldฤฑ.", + ["Akif'le", "geldik", ",", "sonra", "da", "o", "ayrฤฑldฤฑ", "."], + ), + ("Bu adam ne dedi ลŸimdi???", ["Bu", "adam", "ne", "dedi", "ลŸimdi", "?", "?", "?"]), + ( + "Yok hasta olmuลŸ, yok annesi hastaymฤฑลŸ, bahaneler iลŸte...", + [ + "Yok", + "hasta", + "olmuลŸ", + ",", + "yok", + "annesi", + "hastaymฤฑลŸ", + ",", + "bahaneler", + "iลŸte", + "...", + ], + ), + ( + "Ankara'dan ฤฐstanbul'a ... bir aลŸk hikayesi.", + ["Ankara'dan", "ฤฐstanbul'a", "...", "bir", "aลŸk", "hikayesi", "."], + ), + ("Ahmet'te", ["Ahmet'te"]), + ("ฤฐstanbul'da", ["ฤฐstanbul'da"]), ] GENERAL_TESTS = [ - ("1914'teki Endurance seferinde, Sir Ernest Shackleton'ฤฑn kaptanlฤฑฤŸฤฑnฤฑ yaptฤฑฤŸฤฑ ฤฐngiliz Endurance gemisi yirmi sekiz kiลŸi ile Antarktika'yฤฑ geรงmek รผzere yelken aรงtฤฑ.", ["1914'teki", "Endurance", "seferinde", ",", "Sir", "Ernest", "Shackleton'ฤฑn", "kaptanlฤฑฤŸฤฑnฤฑ", "yaptฤฑฤŸฤฑ", "ฤฐngiliz", "Endurance", "gemisi", "yirmi", "sekiz", "kiลŸi", "ile", "Antarktika'yฤฑ", "geรงmek", "รผzere", "yelken", "aรงtฤฑ", "."]), - ("DanฤฑลŸฤฑlan \"%100 Cospedal\" olduฤŸunu belirtti.", ["DanฤฑลŸฤฑlan", '"', "%", "100", "Cospedal", '"', "olduฤŸunu", "belirtti", "."]), - ("1976'da parkur artฤฑk kullanฤฑlmฤฑyordu; 1990'da ise bir yangฤฑn, daha sonralarฤฑ ahฤฑrlarla birlikte yฤฑkฤฑlacak olan tahta tribรผnlerden geri kalanlarฤฑ da yok etmiลŸti.", ["1976'da", "parkur", "artฤฑk", "kullanฤฑlmฤฑyordu", ";", "1990'da", "ise", "bir", "yangฤฑn", ",", "daha", "sonralarฤฑ", "ahฤฑrlarla", "birlikte", "yฤฑkฤฑlacak", "olan", "tahta", "tribรผnlerden", "geri", "kalanlarฤฑ", "da", "yok", "etmiลŸti", "."]), - ("Dahiyane bir ameliyat ve zorlu bir rehabilitasyon sรผrecinden sonra, tamamen iyileลŸtim.", ["Dahiyane", "bir", "ameliyat", "ve", "zorlu", "bir", "rehabilitasyon", "sรผrecinden", "sonra", ",", "tamamen", "iyileลŸtim", "."]), - ("YaklaลŸฤฑk iki hafta sรผren bireysel erken oy kullanma dรถneminin ardฤฑndan 5,7 milyondan fazla Floridalฤฑ sandฤฑk baลŸฤฑna gitti.", ["YaklaลŸฤฑk", "iki", "hafta", "sรผren", "bireysel", "erken", "oy", "kullanma", "dรถneminin", "ardฤฑndan", "5,7", "milyondan", "fazla", "Floridalฤฑ", "sandฤฑk", "baลŸฤฑna", "gitti", "."]), - ("Ancak, bu ABD ร‡evre Koruma Ajansฤฑ'nฤฑn dรผnyayฤฑ bu konularda uyarmasฤฑnฤฑn ardฤฑndan ortaya รงฤฑktฤฑ.", ["Ancak", ",", "bu", "ABD", "ร‡evre", "Koruma", "Ajansฤฑ'nฤฑn", "dรผnyayฤฑ", "bu", "konularda", "uyarmasฤฑnฤฑn", "ardฤฑndan", "ortaya", "รงฤฑktฤฑ", "."]), - ("Ortalama ลŸansa ve 10.000 Sterlin deฤŸerinde tahvillere sahip bir yatฤฑrฤฑmcฤฑ yฤฑlda 125 Sterlin ikramiye kazanabilir.", ["Ortalama", "ลŸansa", "ve", "10.000", "Sterlin", "deฤŸerinde", "tahvillere", "sahip", "bir", "yatฤฑrฤฑmcฤฑ", "yฤฑlda", "125", "Sterlin", "ikramiye", "kazanabilir", "."]), - ("Granit adalarฤฑ; SeyลŸeller ve Tioman ile Saint Helena gibi volkanik adalarฤฑ kapsar." , ["Granit", "adalarฤฑ", ";", "SeyลŸeller", "ve", "Tioman", "ile", "Saint", "Helena", "gibi", "volkanik", "adalarฤฑ", "kapsar", "."]), - ("BarฤฑลŸ antlaลŸmasฤฑyla ฤฐspanya, Amerika'ya Porto Riko, Guam ve Filipinler kolonilerini devretti.", ["BarฤฑลŸ", "antlaลŸmasฤฑyla", "ฤฐspanya", ",", "Amerika'ya", "Porto", "Riko", ",", "Guam", "ve", "Filipinler", "kolonilerini", "devretti", "."]), - ("Makedonya\'nฤฑn sฤฑnฤฑr bรถlgelerini gรผvence altฤฑna alan Philip, bรผyรผk bir Makedon ordusu kurdu ve uzun bir fetih seferi iรงin Trakya\'ya doฤŸru yรผrรผdรผ.", ["Makedonya\'nฤฑn", "sฤฑnฤฑr", "bรถlgelerini", "gรผvence", "altฤฑna", "alan", "Philip", ",", "bรผyรผk", "bir", "Makedon", "ordusu", "kurdu", "ve", "uzun", "bir", "fetih", "seferi", "iรงin", "Trakya\'ya", "doฤŸru", "yรผrรผdรผ", "."]), - ("Fransฤฑz gazetesi Le Figaro'ya gรถre bu hรผkumet planฤฑ sayesinde 42 milyon Euro kazanรง saฤŸlanabilir ve elde edilen paranฤฑn 15.5 milyonu ulusal gรผvenlik iรงin kullanฤฑlabilir.", ["Fransฤฑz", "gazetesi", "Le", "Figaro'ya", "gรถre", "bu", "hรผkumet", "planฤฑ", "sayesinde", "42", "milyon", "Euro", "kazanรง", "saฤŸlanabilir", "ve", "elde", "edilen", "paranฤฑn", "15.5", "milyonu", "ulusal", "gรผvenlik", "iรงin", "kullanฤฑlabilir", "."]), - ("Ortalama ลŸansa ve 10.000 Sterlin deฤŸerinde tahvillere sahip bir yatฤฑrฤฑmcฤฑ yฤฑlda 125 Sterlin ikramiye kazanabilir.", ["Ortalama", "ลŸansa", "ve", "10.000", "Sterlin", "deฤŸerinde", "tahvillere", "sahip", "bir", "yatฤฑrฤฑmcฤฑ", "yฤฑlda", "125", "Sterlin", "ikramiye", "kazanabilir", "."]), - ("3 Kasฤฑm Salฤฑ gรผnรผ, Ankara Belediye BaลŸkanฤฑ 2014'te hรผkรผmetle birlikte oluลŸturulan kentsel geliลŸim anlaลŸmasฤฑnฤฑ askฤฑya alma kararฤฑ verdi.", ["3", "Kasฤฑm", "Salฤฑ", "gรผnรผ", ",", "Ankara", "Belediye", "BaลŸkanฤฑ", "2014'te", "hรผkรผmetle", "birlikte", "oluลŸturulan", "kentsel", "geliลŸim", "anlaลŸmasฤฑnฤฑ", "askฤฑya", "alma", "kararฤฑ", "verdi", "."]), - ("Stalin, Abakumov'u Beria'nฤฑn enerji bakanlฤฑklarฤฑ รผzerindeki baskฤฑnlฤฑฤŸฤฑna karลŸฤฑ MGB iรงinde kendi aฤŸฤฑnฤฑ kurmaya teลŸvik etmeye baลŸlamฤฑลŸtฤฑ.", ["Stalin", ",", "Abakumov'u", "Beria'nฤฑn", "enerji", "bakanlฤฑklarฤฑ", "รผzerindeki", "baskฤฑnlฤฑฤŸฤฑna", "karลŸฤฑ", "MGB", "iรงinde", "kendi", "aฤŸฤฑnฤฑ", "kurmaya", "teลŸvik", "etmeye", "baลŸlamฤฑลŸtฤฑ", "."]), - ("Gรผney Avrupa'daki kazฤฑ alanlarฤฑnฤฑn รงoฤŸunluฤŸu gibi, bu bulgu M.ร–. 5. yรผzyฤฑlฤฑn baลŸlar", ["Gรผney", "Avrupa'daki", "kazฤฑ", "alanlarฤฑnฤฑn", "รงoฤŸunluฤŸu", "gibi", ",", "bu", "bulgu", "M.ร–.", "5.", "yรผzyฤฑlฤฑn", "baลŸlar"]), - ("SaฤŸlฤฑฤŸฤฑn bozulmasฤฑ Hitchcock hayatฤฑnฤฑn son yirmi yฤฑlฤฑnda รผretimini azalttฤฑ.", ["SaฤŸlฤฑฤŸฤฑn", "bozulmasฤฑ", "Hitchcock", "hayatฤฑnฤฑn", "son", "yirmi", "yฤฑlฤฑnda", "รผretimini", "azalttฤฑ", "."]), + ( + "1914'teki Endurance seferinde, Sir Ernest Shackleton'ฤฑn kaptanlฤฑฤŸฤฑnฤฑ yaptฤฑฤŸฤฑ ฤฐngiliz Endurance gemisi yirmi sekiz kiลŸi ile Antarktika'yฤฑ geรงmek รผzere yelken aรงtฤฑ.", + [ + "1914'teki", + "Endurance", + "seferinde", + ",", + "Sir", + "Ernest", + "Shackleton'ฤฑn", + "kaptanlฤฑฤŸฤฑnฤฑ", + "yaptฤฑฤŸฤฑ", + "ฤฐngiliz", + "Endurance", + "gemisi", + "yirmi", + "sekiz", + "kiลŸi", + "ile", + "Antarktika'yฤฑ", + "geรงmek", + "รผzere", + "yelken", + "aรงtฤฑ", + ".", + ], + ), + ( + 'DanฤฑลŸฤฑlan "%100 Cospedal" olduฤŸunu belirtti.', + ["DanฤฑลŸฤฑlan", '"', "%", "100", "Cospedal", '"', "olduฤŸunu", "belirtti", "."], + ), + ( + "1976'da parkur artฤฑk kullanฤฑlmฤฑyordu; 1990'da ise bir yangฤฑn, daha sonralarฤฑ ahฤฑrlarla birlikte yฤฑkฤฑlacak olan tahta tribรผnlerden geri kalanlarฤฑ da yok etmiลŸti.", + [ + "1976'da", + "parkur", + "artฤฑk", + "kullanฤฑlmฤฑyordu", + ";", + "1990'da", + "ise", + "bir", + "yangฤฑn", + ",", + "daha", + "sonralarฤฑ", + "ahฤฑrlarla", + "birlikte", + "yฤฑkฤฑlacak", + "olan", + "tahta", + "tribรผnlerden", + "geri", + "kalanlarฤฑ", + "da", + "yok", + "etmiลŸti", + ".", + ], + ), + ( + "Dahiyane bir ameliyat ve zorlu bir rehabilitasyon sรผrecinden sonra, tamamen iyileลŸtim.", + [ + "Dahiyane", + "bir", + "ameliyat", + "ve", + "zorlu", + "bir", + "rehabilitasyon", + "sรผrecinden", + "sonra", + ",", + "tamamen", + "iyileลŸtim", + ".", + ], + ), + ( + "YaklaลŸฤฑk iki hafta sรผren bireysel erken oy kullanma dรถneminin ardฤฑndan 5,7 milyondan fazla Floridalฤฑ sandฤฑk baลŸฤฑna gitti.", + [ + "YaklaลŸฤฑk", + "iki", + "hafta", + "sรผren", + "bireysel", + "erken", + "oy", + "kullanma", + "dรถneminin", + "ardฤฑndan", + "5,7", + "milyondan", + "fazla", + "Floridalฤฑ", + "sandฤฑk", + "baลŸฤฑna", + "gitti", + ".", + ], + ), + ( + "Ancak, bu ABD ร‡evre Koruma Ajansฤฑ'nฤฑn dรผnyayฤฑ bu konularda uyarmasฤฑnฤฑn ardฤฑndan ortaya รงฤฑktฤฑ.", + [ + "Ancak", + ",", + "bu", + "ABD", + "ร‡evre", + "Koruma", + "Ajansฤฑ'nฤฑn", + "dรผnyayฤฑ", + "bu", + "konularda", + "uyarmasฤฑnฤฑn", + "ardฤฑndan", + "ortaya", + "รงฤฑktฤฑ", + ".", + ], + ), + ( + "Ortalama ลŸansa ve 10.000 Sterlin deฤŸerinde tahvillere sahip bir yatฤฑrฤฑmcฤฑ yฤฑlda 125 Sterlin ikramiye kazanabilir.", + [ + "Ortalama", + "ลŸansa", + "ve", + "10.000", + "Sterlin", + "deฤŸerinde", + "tahvillere", + "sahip", + "bir", + "yatฤฑrฤฑmcฤฑ", + "yฤฑlda", + "125", + "Sterlin", + "ikramiye", + "kazanabilir", + ".", + ], + ), + ( + "Granit adalarฤฑ; SeyลŸeller ve Tioman ile Saint Helena gibi volkanik adalarฤฑ kapsar.", + [ + "Granit", + "adalarฤฑ", + ";", + "SeyลŸeller", + "ve", + "Tioman", + "ile", + "Saint", + "Helena", + "gibi", + "volkanik", + "adalarฤฑ", + "kapsar", + ".", + ], + ), + ( + "BarฤฑลŸ antlaลŸmasฤฑyla ฤฐspanya, Amerika'ya Porto Riko, Guam ve Filipinler kolonilerini devretti.", + [ + "BarฤฑลŸ", + "antlaลŸmasฤฑyla", + "ฤฐspanya", + ",", + "Amerika'ya", + "Porto", + "Riko", + ",", + "Guam", + "ve", + "Filipinler", + "kolonilerini", + "devretti", + ".", + ], + ), + ( + "Makedonya'nฤฑn sฤฑnฤฑr bรถlgelerini gรผvence altฤฑna alan Philip, bรผyรผk bir Makedon ordusu kurdu ve uzun bir fetih seferi iรงin Trakya'ya doฤŸru yรผrรผdรผ.", + [ + "Makedonya'nฤฑn", + "sฤฑnฤฑr", + "bรถlgelerini", + "gรผvence", + "altฤฑna", + "alan", + "Philip", + ",", + "bรผyรผk", + "bir", + "Makedon", + "ordusu", + "kurdu", + "ve", + "uzun", + "bir", + "fetih", + "seferi", + "iรงin", + "Trakya'ya", + "doฤŸru", + "yรผrรผdรผ", + ".", + ], + ), + ( + "Fransฤฑz gazetesi Le Figaro'ya gรถre bu hรผkumet planฤฑ sayesinde 42 milyon Euro kazanรง saฤŸlanabilir ve elde edilen paranฤฑn 15.5 milyonu ulusal gรผvenlik iรงin kullanฤฑlabilir.", + [ + "Fransฤฑz", + "gazetesi", + "Le", + "Figaro'ya", + "gรถre", + "bu", + "hรผkumet", + "planฤฑ", + "sayesinde", + "42", + "milyon", + "Euro", + "kazanรง", + "saฤŸlanabilir", + "ve", + "elde", + "edilen", + "paranฤฑn", + "15.5", + "milyonu", + "ulusal", + "gรผvenlik", + "iรงin", + "kullanฤฑlabilir", + ".", + ], + ), + ( + "Ortalama ลŸansa ve 10.000 Sterlin deฤŸerinde tahvillere sahip bir yatฤฑrฤฑmcฤฑ yฤฑlda 125 Sterlin ikramiye kazanabilir.", + [ + "Ortalama", + "ลŸansa", + "ve", + "10.000", + "Sterlin", + "deฤŸerinde", + "tahvillere", + "sahip", + "bir", + "yatฤฑrฤฑmcฤฑ", + "yฤฑlda", + "125", + "Sterlin", + "ikramiye", + "kazanabilir", + ".", + ], + ), + ( + "3 Kasฤฑm Salฤฑ gรผnรผ, Ankara Belediye BaลŸkanฤฑ 2014'te hรผkรผmetle birlikte oluลŸturulan kentsel geliลŸim anlaลŸmasฤฑnฤฑ askฤฑya alma kararฤฑ verdi.", + [ + "3", + "Kasฤฑm", + "Salฤฑ", + "gรผnรผ", + ",", + "Ankara", + "Belediye", + "BaลŸkanฤฑ", + "2014'te", + "hรผkรผmetle", + "birlikte", + "oluลŸturulan", + "kentsel", + "geliลŸim", + "anlaลŸmasฤฑnฤฑ", + "askฤฑya", + "alma", + "kararฤฑ", + "verdi", + ".", + ], + ), + ( + "Stalin, Abakumov'u Beria'nฤฑn enerji bakanlฤฑklarฤฑ รผzerindeki baskฤฑnlฤฑฤŸฤฑna karลŸฤฑ MGB iรงinde kendi aฤŸฤฑnฤฑ kurmaya teลŸvik etmeye baลŸlamฤฑลŸtฤฑ.", + [ + "Stalin", + ",", + "Abakumov'u", + "Beria'nฤฑn", + "enerji", + "bakanlฤฑklarฤฑ", + "รผzerindeki", + "baskฤฑnlฤฑฤŸฤฑna", + "karลŸฤฑ", + "MGB", + "iรงinde", + "kendi", + "aฤŸฤฑnฤฑ", + "kurmaya", + "teลŸvik", + "etmeye", + "baลŸlamฤฑลŸtฤฑ", + ".", + ], + ), + ( + "Gรผney Avrupa'daki kazฤฑ alanlarฤฑnฤฑn รงoฤŸunluฤŸu gibi, bu bulgu M.ร–. 5. yรผzyฤฑlฤฑn baลŸlar", + [ + "Gรผney", + "Avrupa'daki", + "kazฤฑ", + "alanlarฤฑnฤฑn", + "รงoฤŸunluฤŸu", + "gibi", + ",", + "bu", + "bulgu", + "M.ร–.", + "5.", + "yรผzyฤฑlฤฑn", + "baลŸlar", + ], + ), + ( + "SaฤŸlฤฑฤŸฤฑn bozulmasฤฑ Hitchcock hayatฤฑnฤฑn son yirmi yฤฑlฤฑnda รผretimini azalttฤฑ.", + [ + "SaฤŸlฤฑฤŸฤฑn", + "bozulmasฤฑ", + "Hitchcock", + "hayatฤฑnฤฑn", + "son", + "yirmi", + "yฤฑlฤฑnda", + "รผretimini", + "azalttฤฑ", + ".", + ], + ), ] - -TESTS = (ABBREV_TESTS + URL_TESTS + NUMBER_TESTS + PUNCT_TESTS + GENERAL_TESTS) - +TESTS = ABBREV_TESTS + URL_TESTS + NUMBER_TESTS + PUNCT_TESTS + GENERAL_TESTS @pytest.mark.parametrize("text,expected_tokens", TESTS) @@ -149,4 +696,3 @@ def test_tr_tokenizer_handles_allcases(tr_tokenizer, text, expected_tokens): token_list = [token.text for token in tokens if not token.is_space] print(token_list) assert expected_tokens == token_list - diff --git a/spacy/tests/parser/test_arc_eager_oracle.py b/spacy/tests/parser/test_arc_eager_oracle.py index fa78301af..66c22c60b 100644 --- a/spacy/tests/parser/test_arc_eager_oracle.py +++ b/spacy/tests/parser/test_arc_eager_oracle.py @@ -7,7 +7,6 @@ from spacy.tokens import Doc from spacy.pipeline._parser_internals.nonproj import projectivize from spacy.pipeline._parser_internals.arc_eager import ArcEager from spacy.pipeline.dep_parser import DEFAULT_PARSER_MODEL -from spacy.pipeline._parser_internals.stateclass import StateClass def get_sequence_costs(M, words, heads, deps, transitions): @@ -59,7 +58,7 @@ def test_oracle_four_words(arc_eager, vocab): ["S"], ["L-left"], ["S"], - ["D"] + ["D"], ] assert state.is_final() for i, state_costs in enumerate(cost_history): @@ -185,9 +184,9 @@ def test_oracle_dev_sentence(vocab, arc_eager): "L-nn", # Attach 'Cars' to 'Inc.' "L-nn", # Attach 'Motor' to 'Inc.' "L-nn", # Attach 'Rolls-Royce' to 'Inc.' - "S", # Shift "Inc." + "S", # Shift "Inc." "L-nsubj", # Attach 'Inc.' to 'said' - "S", # Shift 'said' + "S", # Shift 'said' "S", # Shift 'it' "L-nsubj", # Attach 'it.' to 'expects' "R-ccomp", # Attach 'expects' to 'said' @@ -251,7 +250,7 @@ def test_oracle_bad_tokenization(vocab, arc_eager): is root is bad comp is """ - + gold_words = [] gold_deps = [] gold_heads = [] @@ -268,7 +267,9 @@ def test_oracle_bad_tokenization(vocab, arc_eager): arc_eager.add_action(2, dep) # Left arc_eager.add_action(3, dep) # Right reference = Doc(Vocab(), words=gold_words, deps=gold_deps, heads=gold_heads) - predicted = Doc(reference.vocab, words=["[", "catalase", "]", ":", "that", "is", "bad"]) + predicted = Doc( + reference.vocab, words=["[", "catalase", "]", ":", "that", "is", "bad"] + ) example = Example(predicted=predicted, reference=reference) ae_oracle_actions = arc_eager.get_oracle_sequence(example, _debug=False) ae_oracle_actions = [arc_eager.get_class_name(i) for i in ae_oracle_actions] diff --git a/spacy/tests/parser/test_ner.py b/spacy/tests/parser/test_ner.py index 9b72466dd..8b771cafa 100644 --- a/spacy/tests/parser/test_ner.py +++ b/spacy/tests/parser/test_ner.py @@ -301,9 +301,7 @@ def test_block_ner(): assert [token.ent_type_ for token in doc] == expected_types -@pytest.mark.parametrize( - "use_upper", [True, False] -) +@pytest.mark.parametrize("use_upper", [True, False]) def test_overfitting_IO(use_upper): # Simple test to try and quickly overfit the NER component - ensuring the ML models work correctly nlp = English() diff --git a/spacy/tests/parser/test_nn_beam.py b/spacy/tests/parser/test_nn_beam.py index 1f45b67c8..4ba020ef0 100644 --- a/spacy/tests/parser/test_nn_beam.py +++ b/spacy/tests/parser/test_nn_beam.py @@ -1,13 +1,9 @@ -# coding: utf8 -from __future__ import unicode_literals - import pytest import hypothesis import hypothesis.strategies import numpy from spacy.vocab import Vocab from spacy.language import Language -from spacy.pipeline import DependencyParser from spacy.pipeline._parser_internals.arc_eager import ArcEager from spacy.tokens import Doc from spacy.pipeline._parser_internals._beam_utils import BeamBatch @@ -44,7 +40,7 @@ def docs(vocab): words=["Rats", "bite", "things"], heads=[1, 1, 1], deps=["nsubj", "ROOT", "dobj"], - sent_starts=[True, False, False] + sent_starts=[True, False, False], ) ] @@ -77,10 +73,12 @@ def batch_size(docs): def beam_width(): return 4 + @pytest.fixture(params=[0.0, 0.5, 1.0]) def beam_density(request): return request.param + @pytest.fixture def vector_size(): return 6 @@ -100,7 +98,9 @@ def scores(moves, batch_size, beam_width): numpy.random.uniform(-0.1, 0.1, (beam_width, moves.n_moves)) for _ in range(batch_size) ] - ), dtype="float32") + ), + dtype="float32", + ) def test_create_beam(beam): @@ -128,8 +128,6 @@ def test_beam_parse(examples, beam_width): parser(doc) - - @hypothesis.given(hyp=hypothesis.strategies.data()) def test_beam_density(moves, examples, beam_width, hyp): beam_density = float(hyp.draw(hypothesis.strategies.floats(0.0, 1.0, width=32))) diff --git a/spacy/tests/parser/test_state.py b/spacy/tests/parser/test_state.py index 7cd4b98e1..ca1755c48 100644 --- a/spacy/tests/parser/test_state.py +++ b/spacy/tests/parser/test_state.py @@ -4,14 +4,17 @@ from spacy.tokens.doc import Doc from spacy.vocab import Vocab from spacy.pipeline._parser_internals.stateclass import StateClass + @pytest.fixture def vocab(): return Vocab() + @pytest.fixture def doc(vocab): return Doc(vocab, words=["a", "b", "c", "d"]) + def test_init_state(doc): state = StateClass(doc) assert state.stack == [] @@ -19,6 +22,7 @@ def test_init_state(doc): assert not state.is_final() assert state.buffer_length() == 4 + def test_push_pop(doc): state = StateClass(doc) state.push() @@ -33,6 +37,7 @@ def test_push_pop(doc): assert state.stack == [0] assert 1 not in state.queue + def test_stack_depth(doc): state = StateClass(doc) assert state.stack_depth() == 0 diff --git a/spacy/tests/pipeline/test_attributeruler.py b/spacy/tests/pipeline/test_attributeruler.py index 02726172b..9c750ffd0 100644 --- a/spacy/tests/pipeline/test_attributeruler.py +++ b/spacy/tests/pipeline/test_attributeruler.py @@ -161,7 +161,7 @@ def test_attributeruler_score(nlp, pattern_dicts): # "cat" is the only correct lemma assert scores["lemma_acc"] == pytest.approx(0.2) # no morphs are set - assert scores["morph_acc"] == None + assert scores["morph_acc"] is None def test_attributeruler_rule_order(nlp): diff --git a/spacy/tests/pipeline/test_entity_ruler.py b/spacy/tests/pipeline/test_entity_ruler.py index 8442a2d1b..3f998d78d 100644 --- a/spacy/tests/pipeline/test_entity_ruler.py +++ b/spacy/tests/pipeline/test_entity_ruler.py @@ -201,13 +201,9 @@ def test_entity_ruler_overlapping_spans(nlp): @pytest.mark.parametrize("n_process", [1, 2]) def test_entity_ruler_multiprocessing(nlp, n_process): - texts = [ - "I enjoy eating Pizza Hut pizza." - ] + texts = ["I enjoy eating Pizza Hut pizza."] - patterns = [ - {"label": "FASTFOOD", "pattern": "Pizza Hut", "id": "1234"} - ] + patterns = [{"label": "FASTFOOD", "pattern": "Pizza Hut", "id": "1234"}] ruler = nlp.add_pipe("entity_ruler") ruler.add_patterns(patterns) diff --git a/spacy/tests/pipeline/test_pipe_factories.py b/spacy/tests/pipeline/test_pipe_factories.py index 6f07c0220..2af4b1efb 100644 --- a/spacy/tests/pipeline/test_pipe_factories.py +++ b/spacy/tests/pipeline/test_pipe_factories.py @@ -159,8 +159,12 @@ def test_pipe_class_component_model(): "model": { "@architectures": "spacy.TextCatEnsemble.v2", "tok2vec": DEFAULT_TOK2VEC_MODEL, - "linear_model": {"@architectures": "spacy.TextCatBOW.v1", "exclusive_classes": False, "ngram_size": 1, - "no_output_layer": False}, + "linear_model": { + "@architectures": "spacy.TextCatBOW.v1", + "exclusive_classes": False, + "ngram_size": 1, + "no_output_layer": False, + }, }, "value1": 10, } diff --git a/spacy/tests/pipeline/test_tagger.py b/spacy/tests/pipeline/test_tagger.py index dc3800f07..6f75c52a4 100644 --- a/spacy/tests/pipeline/test_tagger.py +++ b/spacy/tests/pipeline/test_tagger.py @@ -126,6 +126,7 @@ def test_incomplete_data(): assert doc[1].tag_ is "V" assert doc[2].tag_ is "J" + def test_overfitting_IO(): # Simple test to try and quickly overfit the tagger - ensuring the ML models work correctly nlp = English() diff --git a/spacy/tests/regression/test_issue6258.py b/spacy/tests/regression/test_issue6258.py index 03b0b9373..9ce9026c0 100644 --- a/spacy/tests/regression/test_issue6258.py +++ b/spacy/tests/regression/test_issue6258.py @@ -1,4 +1,3 @@ -import pydantic import pytest from pydantic import ValidationError from spacy.schemas import TokenPattern, TokenPatternSchema diff --git a/spacy/tests/serialize/test_serialize_config.py b/spacy/tests/serialize/test_serialize_config.py index 68fbf1d5a..42654ff7d 100644 --- a/spacy/tests/serialize/test_serialize_config.py +++ b/spacy/tests/serialize/test_serialize_config.py @@ -207,7 +207,7 @@ def test_create_nlp_from_pretraining_config(): config = Config().from_str(pretrain_config_string) pretrain_config = load_config(DEFAULT_CONFIG_PRETRAIN_PATH) filled = config.merge(pretrain_config) - resolved = registry.resolve(filled["pretraining"], schema=ConfigSchemaPretrain) + registry.resolve(filled["pretraining"], schema=ConfigSchemaPretrain) def test_create_nlp_from_config_multiple_instances(): @@ -291,7 +291,6 @@ def test_serialize_parser(parser_config_string): assert model.get_ref("lower").get_dim("nI") == 66 - def test_config_nlp_roundtrip(): """Test that a config prduced by the nlp object passes training config validation.""" diff --git a/spacy/tests/serialize/test_serialize_pipeline.py b/spacy/tests/serialize/test_serialize_pipeline.py index 2deaa180d..0e1f4db2c 100644 --- a/spacy/tests/serialize/test_serialize_pipeline.py +++ b/spacy/tests/serialize/test_serialize_pipeline.py @@ -24,7 +24,7 @@ def parser(en_vocab): "update_with_oracle_cut_size": 100, "beam_width": 1, "beam_update_prob": 1.0, - "beam_density": 0.0 + "beam_density": 0.0, } cfg = {"model": DEFAULT_PARSER_MODEL} model = registry.resolve(cfg, validate=True)["model"] @@ -41,7 +41,7 @@ def blank_parser(en_vocab): "update_with_oracle_cut_size": 100, "beam_width": 1, "beam_update_prob": 1.0, - "beam_density": 0.0 + "beam_density": 0.0, } cfg = {"model": DEFAULT_PARSER_MODEL} model = registry.resolve(cfg, validate=True)["model"] @@ -66,7 +66,7 @@ def test_serialize_parser_roundtrip_bytes(en_vocab, Parser): "update_with_oracle_cut_size": 100, "beam_width": 1, "beam_update_prob": 1.0, - "beam_density": 0.0 + "beam_density": 0.0, } cfg = {"model": DEFAULT_PARSER_MODEL} model = registry.resolve(cfg, validate=True)["model"] @@ -90,7 +90,7 @@ def test_serialize_parser_strings(Parser): "update_with_oracle_cut_size": 100, "beam_width": 1, "beam_update_prob": 1.0, - "beam_density": 0.0 + "beam_density": 0.0, } cfg = {"model": DEFAULT_PARSER_MODEL} model = registry.resolve(cfg, validate=True)["model"] @@ -112,7 +112,7 @@ def test_serialize_parser_roundtrip_disk(en_vocab, Parser): "update_with_oracle_cut_size": 100, "beam_width": 1, "beam_update_prob": 1.0, - "beam_density": 0.0 + "beam_density": 0.0, } cfg = {"model": DEFAULT_PARSER_MODEL} model = registry.resolve(cfg, validate=True)["model"] diff --git a/spacy/tests/test_misc.py b/spacy/tests/test_misc.py index b6c1319ae..bdb2b9752 100644 --- a/spacy/tests/test_misc.py +++ b/spacy/tests/test_misc.py @@ -83,6 +83,7 @@ def test_PrecomputableAffine(nO=4, nI=5, nF=3, nP=2): def test_prefer_gpu(): try: import cupy # noqa: F401 + prefer_gpu() assert isinstance(get_current_ops(), CupyOps) except ImportError: @@ -92,17 +93,20 @@ def test_prefer_gpu(): def test_require_gpu(): try: import cupy # noqa: F401 + require_gpu() assert isinstance(get_current_ops(), CupyOps) except ImportError: with pytest.raises(ValueError): require_gpu() + def test_require_cpu(): require_cpu() assert isinstance(get_current_ops(), NumpyOps) try: import cupy # noqa: F401 + require_gpu() assert isinstance(get_current_ops(), CupyOps) except ImportError: diff --git a/spacy/tests/test_scorer.py b/spacy/tests/test_scorer.py index 56b276f0b..4dddca404 100644 --- a/spacy/tests/test_scorer.py +++ b/spacy/tests/test_scorer.py @@ -294,7 +294,7 @@ def test_partial_annotation(en_tokenizer): # cats doesn't have an unset state if key.startswith("cats"): continue - assert scores[key] == None + assert scores[key] is None # partially annotated reference, not overlapping with predicted annotation ref_doc = en_tokenizer("a b c d e") @@ -306,13 +306,13 @@ def test_partial_annotation(en_tokenizer): example = Example(pred_doc, ref_doc) scorer = Scorer() scores = scorer.score([example]) - assert scores["token_acc"] == None + assert scores["token_acc"] is None assert scores["tag_acc"] == 0.0 assert scores["pos_acc"] == 0.0 assert scores["morph_acc"] == 0.0 assert scores["dep_uas"] == 1.0 assert scores["dep_las"] == 0.0 - assert scores["sents_f"] == None + assert scores["sents_f"] is None # partially annotated reference, overlapping with predicted annotation ref_doc = en_tokenizer("a b c d e") @@ -324,13 +324,13 @@ def test_partial_annotation(en_tokenizer): example = Example(pred_doc, ref_doc) scorer = Scorer() scores = scorer.score([example]) - assert scores["token_acc"] == None + assert scores["token_acc"] is None assert scores["tag_acc"] == 1.0 assert scores["pos_acc"] == 1.0 assert scores["morph_acc"] == 0.0 assert scores["dep_uas"] == 1.0 assert scores["dep_las"] == 0.0 - assert scores["sents_f"] == None + assert scores["sents_f"] is None def test_roc_auc_score(): @@ -391,7 +391,7 @@ def test_roc_auc_score(): score.score_set(0.25, 0) score.score_set(0.75, 0) with pytest.raises(ValueError): - s = score.score + _ = score.score # noqa: F841 y_true = [1, 1] y_score = [0.25, 0.75] @@ -402,4 +402,4 @@ def test_roc_auc_score(): score.score_set(0.25, 1) score.score_set(0.75, 1) with pytest.raises(ValueError): - s = score.score + _ = score.score # noqa: F841 diff --git a/spacy/tests/training/test_readers.py b/spacy/tests/training/test_readers.py index 5669bdd11..86166a048 100644 --- a/spacy/tests/training/test_readers.py +++ b/spacy/tests/training/test_readers.py @@ -73,7 +73,7 @@ def test_cat_readers(reader, additional_config): nlp_config_string = """ [training] seed = 0 - + [training.score_weights] cats_macro_auc = 1.0 diff --git a/spacy/training/initialize.py b/spacy/training/initialize.py index 6f9896492..e8a0a46de 100644 --- a/spacy/training/initialize.py +++ b/spacy/training/initialize.py @@ -37,9 +37,17 @@ def init_nlp(config: Config, *, use_gpu: int = -1) -> "Language": T = registry.resolve(config["training"], schema=ConfigSchemaTraining) dot_names = [T["train_corpus"], T["dev_corpus"]] if not isinstance(T["train_corpus"], str): - raise ConfigValidationError(desc=Errors.E897.format(field="training.train_corpus", type=type(T["train_corpus"]))) + raise ConfigValidationError( + desc=Errors.E897.format( + field="training.train_corpus", type=type(T["train_corpus"]) + ) + ) if not isinstance(T["dev_corpus"], str): - raise ConfigValidationError(desc=Errors.E897.format(field="training.dev_corpus", type=type(T["dev_corpus"]))) + raise ConfigValidationError( + desc=Errors.E897.format( + field="training.dev_corpus", type=type(T["dev_corpus"]) + ) + ) train_corpus, dev_corpus = resolve_dot_names(config, dot_names) optimizer = T["optimizer"] # Components that shouldn't be updated during training diff --git a/spacy/training/pretrain.py b/spacy/training/pretrain.py index f516c0fd7..152d849e9 100644 --- a/spacy/training/pretrain.py +++ b/spacy/training/pretrain.py @@ -10,7 +10,7 @@ from wasabi import Printer from .example import Example from ..tokens import Doc -from ..schemas import ConfigSchemaTraining, ConfigSchemaPretrain +from ..schemas import ConfigSchemaPretrain from ..util import registry, load_model_from_config, dot_to_object @@ -30,7 +30,6 @@ def pretrain( set_gpu_allocator(allocator) nlp = load_model_from_config(config) _config = nlp.config.interpolate() - T = registry.resolve(_config["training"], schema=ConfigSchemaTraining) P = registry.resolve(_config["pretraining"], schema=ConfigSchemaPretrain) corpus = dot_to_object(_config, P["corpus"]) corpus = registry.resolve({"corpus": corpus})["corpus"] diff --git a/spacy/util.py b/spacy/util.py index 964ec1c36..32eb84894 100644 --- a/spacy/util.py +++ b/spacy/util.py @@ -69,7 +69,7 @@ CONFIG_SECTION_ORDER = ["paths", "variables", "system", "nlp", "components", "co logger = logging.getLogger("spacy") logger_stream_handler = logging.StreamHandler() -logger_stream_handler.setFormatter(logging.Formatter('%(message)s')) +logger_stream_handler.setFormatter(logging.Formatter("%(message)s")) logger.addHandler(logger_stream_handler) From a9e845426f63f1f8ae0200945fbea3f4852383d5 Mon Sep 17 00:00:00 2001 From: Ines Montani Date: Tue, 5 Jan 2021 13:49:59 +1100 Subject: [PATCH 13/28] Use --force for consistency and add docs --- spacy/cli/init_config.py | 11 +++++++---- website/docs/api/cli.md | 3 ++- 2 files changed, 9 insertions(+), 5 deletions(-) diff --git a/spacy/cli/init_config.py b/spacy/cli/init_config.py index 55bdacd30..65d90fc79 100644 --- a/spacy/cli/init_config.py +++ b/spacy/cli/init_config.py @@ -32,7 +32,7 @@ def init_config_cli( optimize: Optimizations = Opt(Optimizations.efficiency.value, "--optimize", "-o", help="Whether to optimize for efficiency (faster inference, smaller model, lower memory consumption) or higher accuracy (potentially larger and slower model). This will impact the choice of architecture, pretrained weights and related hyperparameters."), gpu: bool = Opt(False, "--gpu", "-G", help="Whether the model can run on GPU. This will impact the choice of architecture, pretrained weights and related hyperparameters."), pretraining: bool = Opt(False, "--pretraining", "-pt", help="Include config for pretraining (with 'spacy pretrain')"), - overwrite: bool = Opt(False, "--overwrite", "-W", help="Whether or not to overwrite the file if it already exists."), + force_overwrite: bool = Opt(False, "--force", "-F", help="Force overwriting the output file"), # fmt: on ): """ @@ -47,9 +47,12 @@ def init_config_cli( optimize = optimize.value pipeline = string_to_list(pipeline) is_stdout = str(output_file) == "-" - if not is_stdout and output_file.exists() and not overwrite: - msg = Printer(no_print=False) - msg.fail("The provided output file already exists. To overwrite, set the flag -W", exits=1) + if not is_stdout and output_file.exists() and not force_overwrite: + msg = Printer() + msg.fail( + "The provided output file already exists. To force overwriting the config file, set the --force or -F flag.", + exits=1, + ) config = init_config( lang=lang, pipeline=pipeline, diff --git a/website/docs/api/cli.md b/website/docs/api/cli.md index 5a6143a38..c0e344e4e 100644 --- a/website/docs/api/cli.md +++ b/website/docs/api/cli.md @@ -121,7 +121,7 @@ customize those settings in your config file later. > ``` ```cli -$ python -m spacy init config [output_file] [--lang] [--pipeline] [--optimize] [--gpu] [--pretraining] +$ python -m spacy init config [output_file] [--lang] [--pipeline] [--optimize] [--gpu] [--pretraining] [--force] ``` | Name | Description | @@ -132,6 +132,7 @@ $ python -m spacy init config [output_file] [--lang] [--pipeline] [--optimize] [ | `--optimize`, `-o` | `"efficiency"` or `"accuracy"`. Whether to optimize for efficiency (faster inference, smaller model, lower memory consumption) or higher accuracy (potentially larger and slower model). This will impact the choice of architecture, pretrained weights and related hyperparameters. Defaults to `"efficiency"`. ~~str (option)~~ | | `--gpu`, `-G` | Whether the model can run on GPU. This will impact the choice of architecture, pretrained weights and related hyperparameters. ~~bool (flag)~~ | | `--pretraining`, `-pt` | Include config for pretraining (with [`spacy pretrain`](/api/cli#pretrain)). Defaults to `False`. ~~bool (flag)~~ | +| `--force`, `-f` | Force overwriting the output file if it already exists. ~~bool (flag)~~ | | `--help`, `-h` | Show help message and available arguments. ~~bool (flag)~~ | | **CREATES** | The config file for training. | From 9c078a5885c4ff80d08d9dbbbead69114e3c8c99 Mon Sep 17 00:00:00 2001 From: Ines Montani Date: Tue, 5 Jan 2021 13:52:28 +1100 Subject: [PATCH 14/28] Update formatting for consistency [ci skip] --- website/docs/api/cli.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/website/docs/api/cli.md b/website/docs/api/cli.md index 58626b538..fd82b92b0 100644 --- a/website/docs/api/cli.md +++ b/website/docs/api/cli.md @@ -786,7 +786,7 @@ in the section `[paths]`. > #### Example > > ```cli -> $ python -m spacy train config.cfg --output output_dir --paths.train="./train" --paths.dev="./dev" +> $ python -m spacy train config.cfg --output ./output --paths.train ./train --paths.dev ./dev > ``` ```cli @@ -833,7 +833,7 @@ auto-generated by setting `--pretraining` on > #### Example > > ```cli -> $ python -m spacy pretrain config.cfg output_pretrain --paths.raw_text="data.jsonl" +> $ python -m spacy pretrain config.cfg ./output_pretrain --paths.raw_text ./data.jsonl > ``` ```cli From 29b59086f95b65ac84ba3d0b1daa7d669c3a7505 Mon Sep 17 00:00:00 2001 From: Sofie Van Landeghem Date: Wed, 6 Jan 2021 02:50:17 +0100 Subject: [PATCH 15/28] Prevent 0-length mem alloc (#6653) * prevent 0-length mem alloc by adding asserts * fix lexeme mem allocation --- spacy/morphology.pyx | 5 +++-- spacy/pipeline/_parser_internals/arc_eager.pyx | 2 ++ spacy/pipeline/_parser_internals/ner.pyx | 1 + spacy/tokenizer.pyx | 1 + spacy/tokens/doc.pyx | 2 ++ spacy/vocab.pyx | 2 +- 6 files changed, 10 insertions(+), 3 deletions(-) diff --git a/spacy/morphology.pyx b/spacy/morphology.pyx index a2420353e..e8469223a 100644 --- a/spacy/morphology.pyx +++ b/spacy/morphology.pyx @@ -133,8 +133,9 @@ cdef class Morphology: """ cdef MorphAnalysisC tag tag.length = len(field_feature_pairs) - tag.fields = self.mem.alloc(tag.length, sizeof(attr_t)) - tag.features = self.mem.alloc(tag.length, sizeof(attr_t)) + if tag.length > 0: + tag.fields = self.mem.alloc(tag.length, sizeof(attr_t)) + tag.features = self.mem.alloc(tag.length, sizeof(attr_t)) for i, (field, feature) in enumerate(field_feature_pairs): tag.fields[i] = field tag.features[i] = feature diff --git a/spacy/pipeline/_parser_internals/arc_eager.pyx b/spacy/pipeline/_parser_internals/arc_eager.pyx index cddb6cbd9..6f63e6943 100644 --- a/spacy/pipeline/_parser_internals/arc_eager.pyx +++ b/spacy/pipeline/_parser_internals/arc_eager.pyx @@ -65,6 +65,7 @@ cdef GoldParseStateC create_gold_state(Pool mem, const StateC* state, cdef GoldParseStateC gs gs.length = len(heads) gs.stride = 1 + assert gs.length > 0 gs.labels = mem.alloc(gs.length, sizeof(gs.labels[0])) gs.heads = mem.alloc(gs.length, sizeof(gs.heads[0])) gs.n_kids = mem.alloc(gs.length, sizeof(gs.n_kids[0])) @@ -126,6 +127,7 @@ cdef GoldParseStateC create_gold_state(Pool mem, const StateC* state, 1 ) # Make an array of pointers, pointing into the gs_kids_flat array. + assert gs.length > 0 gs.kids = mem.alloc(gs.length, sizeof(int32_t*)) for i in range(gs.length): if gs.n_kids[i] != 0: diff --git a/spacy/pipeline/_parser_internals/ner.pyx b/spacy/pipeline/_parser_internals/ner.pyx index 7f4d332db..f2bd9d134 100644 --- a/spacy/pipeline/_parser_internals/ner.pyx +++ b/spacy/pipeline/_parser_internals/ner.pyx @@ -63,6 +63,7 @@ cdef GoldNERStateC create_gold_state( Example example ) except *: cdef GoldNERStateC gs + assert example.x.length > 0 gs.ner = mem.alloc(example.x.length, sizeof(Transition)) ner_tags = example.get_aligned_ner() for i, ner_tag in enumerate(ner_tags): diff --git a/spacy/tokenizer.pyx b/spacy/tokenizer.pyx index 8f380fd48..e22e0094b 100644 --- a/spacy/tokenizer.pyx +++ b/spacy/tokenizer.pyx @@ -258,6 +258,7 @@ cdef class Tokenizer: tokens = doc.c # Otherwise create a separate array to store modified tokens else: + assert max_length > 0 tokens = mem.alloc(max_length, sizeof(TokenC)) # Modify tokenization according to filtered special cases offset = self._retokenize_special_spans(doc, tokens, span_data) diff --git a/spacy/tokens/doc.pyx b/spacy/tokens/doc.pyx index 2f9d2e015..29a8f0742 100644 --- a/spacy/tokens/doc.pyx +++ b/spacy/tokens/doc.pyx @@ -225,6 +225,7 @@ cdef class Doc: # Guarantee self.lex[i-x], for any i >= 0 and x < padding is in bounds # However, we need to remember the true starting places, so that we can # realloc. + assert size + (PADDING*2) > 0 data_start = self.mem.alloc(size + (PADDING*2), sizeof(TokenC)) cdef int i for i in range(size + (PADDING*2)): @@ -1177,6 +1178,7 @@ cdef class Doc: other.length = self.length other.max_length = self.max_length buff_size = other.max_length + (PADDING*2) + assert buff_size > 0 tokens = other.mem.alloc(buff_size, sizeof(TokenC)) memcpy(tokens, self.c - PADDING, buff_size * sizeof(TokenC)) other.c = &tokens[PADDING] diff --git a/spacy/vocab.pyx b/spacy/vocab.pyx index 568c2cc4c..8359d8452 100644 --- a/spacy/vocab.pyx +++ b/spacy/vocab.pyx @@ -164,7 +164,7 @@ cdef class Vocab: if len(string) < 3 or self.length < 10000: mem = self.mem cdef bint is_oov = mem is not self.mem - lex = mem.alloc(sizeof(LexemeC), 1) + lex = mem.alloc(1, sizeof(LexemeC)) lex.orth = self.strings.add(string) lex.length = len(string) if self.vectors is not None: From 1a77607036f55b57aff4f0373c63fb040b35f7cc Mon Sep 17 00:00:00 2001 From: Bruno Date: Tue, 5 Jan 2021 22:51:30 -0300 Subject: [PATCH 16/28] spaCy v3 is not saving the best version in training loop (#6629) * Save best only if is the best and also respect the average config * Create bratao.md * Update loop.py * Remove average check * Keep before_to_disk --- .github/contributors/bratao.md | 106 +++++++++++++++++++++++++++++++++ spacy/training/loop.py | 10 +++- 2 files changed, 113 insertions(+), 3 deletions(-) create mode 100644 .github/contributors/bratao.md diff --git a/.github/contributors/bratao.md b/.github/contributors/bratao.md new file mode 100644 index 000000000..9bc187cdc --- /dev/null +++ b/.github/contributors/bratao.md @@ -0,0 +1,106 @@ +# spaCy contributor agreement + +This spaCy Contributor Agreement (**"SCA"**) is based on the +[Oracle Contributor Agreement](http://www.oracle.com/technetwork/oca-405177.pdf). +The SCA applies to any contribution that you make to any product or project +managed by us (the **"project"**), and sets out the intellectual property rights +you grant to us in the contributed materials. The term **"us"** shall mean +[ExplosionAI GmbH](https://explosion.ai/legal). The term +**"you"** shall mean the person or entity identified below. + +If you agree to be bound by these terms, fill in the information requested +below and include the filled-in version with your first pull request, under the +folder [`.github/contributors/`](/.github/contributors/). The name of the file +should be your GitHub username, with the extension `.md`. For example, the user +example_user would create the file `.github/contributors/example_user.md`. + +Read this agreement carefully before signing. These terms and conditions +constitute a binding legal agreement. + +## Contributor Agreement + +1. The term "contribution" or "contributed materials" means any source code, +object code, patch, tool, sample, graphic, specification, manual, +documentation, or any other material posted or submitted by you to the project. + +2. With respect to any worldwide copyrights, or copyright applications and +registrations, in your contribution: + + * you hereby assign to us joint ownership, and to the extent that such + assignment is or becomes invalid, ineffective or unenforceable, you hereby + grant to us a perpetual, irrevocable, non-exclusive, worldwide, no-charge, + royalty-free, unrestricted license to exercise all rights under those + copyrights. This includes, at our option, the right to sublicense these same + rights to third parties through multiple levels of sublicensees or other + licensing arrangements; + + * you agree that each of us can do all things in relation to your + contribution as if each of us were the sole owners, and if one of us makes + a derivative work of your contribution, the one who makes the derivative + work (or has it made will be the sole owner of that derivative work; + + * you agree that you will not assert any moral rights in your contribution + against us, our licensees or transferees; + + * you agree that we may register a copyright in your contribution and + exercise all ownership rights associated with it; and + + * you agree that neither of us has any duty to consult with, obtain the + consent of, pay or render an accounting to the other for any use or + distribution of your contribution. + +3. With respect to any patents you own, or that you can license without payment +to any third party, you hereby grant to us a perpetual, irrevocable, +non-exclusive, worldwide, no-charge, royalty-free license to: + + * make, have made, use, sell, offer to sell, import, and otherwise transfer + your contribution in whole or in part, alone or in combination with or + included in any product, work or materials arising out of the project to + which your contribution was submitted, and + + * at our option, to sublicense these same rights to third parties through + multiple levels of sublicensees or other licensing arrangements. + +4. Except as set out above, you keep all right, title, and interest in your +contribution. The rights that you grant to us under these terms are effective +on the date you first submitted a contribution to us, even if your submission +took place before the date you sign these terms. + +5. You covenant, represent, warrant and agree that: + + * Each contribution that you submit is and shall be an original work of + authorship and you can legally grant the rights set out in this SCA; + + * to the best of your knowledge, each contribution will not violate any + third party's copyrights, trademarks, patents, or other intellectual + property rights; and + + * each contribution shall be in compliance with U.S. export control laws and + other applicable export and import laws. You agree to notify us if you + become aware of any circumstance which would make any of the foregoing + representations inaccurate in any respect. We may publicly disclose your + participation in the project, including the fact that you have signed the SCA. + +6. This SCA is governed by the laws of the State of California and applicable +U.S. Federal law. Any choice of law rules will not apply. + +7. Please place an โ€œxโ€ on one of the applicable statement below. Please do NOT +mark both statements: + + * [X] I am signing on behalf of myself as an individual and no other person + or entity, including my employer, has or will have rights with respect to my + contributions. + + * [ ] I am signing on behalf of my employer or a legal entity and I have the + actual authority to contractually bind that entity. + +## Contributor Details + +| Field | Entry | +|------------------------------- | -------------------- | +| Name | Bruno Souza Cabral | +| Company name (if applicable) | | +| Title or role (if applicable) | | +| Date | 24/12/2020 | +| GitHub username | bratao | +| Website (optional) | | diff --git a/spacy/training/loop.py b/spacy/training/loop.py index d6c65274e..577c80cb3 100644 --- a/spacy/training/loop.py +++ b/spacy/training/loop.py @@ -87,9 +87,13 @@ def train( if is_best_checkpoint is not None and output_path is not None: with nlp.select_pipes(disable=frozen_components): update_meta(T, nlp, info) - with nlp.use_params(optimizer.averages): - nlp = before_to_disk(nlp) - nlp.to_disk(output_path / DIR_MODEL_BEST) + with nlp.use_params(optimizer.averages): + nlp = before_to_disk(nlp) + nlp.to_disk(output_path / DIR_MODEL_LAST) + if is_best_checkpoint: + with nlp.use_params(optimizer.averages): + nlp.to_disk(output_path / DIR_MODEL_BEST) + except Exception as e: if output_path is not None: # We don't want to swallow the traceback if we don't have a From afc5714d32a191f25ffbdbe8ad6697f0580184a2 Mon Sep 17 00:00:00 2001 From: Sofie Van Landeghem Date: Wed, 6 Jan 2021 03:07:14 +0100 Subject: [PATCH 17/28] multi-label textcat component (#6474) * multi-label textcat component * formatting * fix comment * cleanup * fix from #6481 * random edit to push the tests * add explicit error when textcat is called with multi-label gold data * fix error nr * small fix --- spacy/cli/init_config.py | 2 +- spacy/cli/templates/quickstart_training.jinja | 65 ++- spacy/errors.py | 4 + spacy/pipeline/__init__.py | 4 +- spacy/pipeline/textcat.py | 34 +- spacy/pipeline/textcat_multilabel.py | 191 ++++++++ spacy/scorer.py | 2 +- spacy/tests/pipeline/test_textcat.py | 179 +++++-- spacy/tests/regression/test_issue5501-6000.py | 17 +- .../serialize/test_serialize_pipeline.py | 4 +- spacy/tests/training/test_readers.py | 2 +- website/docs/api/data-formats.md | 2 +- .../docs/api/multilabel_textcategorizer.md | 454 ++++++++++++++++++ website/docs/api/textcategorizer.md | 13 +- website/docs/usage/layers-architectures.md | 4 +- 15 files changed, 902 insertions(+), 75 deletions(-) create mode 100644 spacy/pipeline/textcat_multilabel.py create mode 100644 website/docs/api/multilabel_textcategorizer.md diff --git a/spacy/cli/init_config.py b/spacy/cli/init_config.py index 65d90fc79..e862454f7 100644 --- a/spacy/cli/init_config.py +++ b/spacy/cli/init_config.py @@ -169,7 +169,7 @@ def init_config( "Hardware": variables["hardware"].upper(), "Transformer": template_vars.transformer.get("name", False), } - msg.info("Generated template specific for your use case") + msg.info("Generated config template specific for your use case") for label, value in use_case.items(): msg.text(f"- {label}: {value}") with show_validation_error(hint_fill=False): diff --git a/spacy/cli/templates/quickstart_training.jinja b/spacy/cli/templates/quickstart_training.jinja index bce3738b0..71ba5f6bc 100644 --- a/spacy/cli/templates/quickstart_training.jinja +++ b/spacy/cli/templates/quickstart_training.jinja @@ -149,13 +149,44 @@ grad_factor = 1.0 [components.textcat.model.linear_model] @architectures = "spacy.TextCatBOW.v1" -exclusive_classes = false +exclusive_classes = true ngram_size = 1 no_output_layer = false {% else -%} [components.textcat.model] @architectures = "spacy.TextCatBOW.v1" +exclusive_classes = true +ngram_size = 1 +no_output_layer = false +{%- endif %} +{%- endif %} + +{% if "textcat_multilabel" in components %} +[components.textcat_multilabel] +factory = "textcat_multilabel" + +{% if optimize == "accuracy" %} +[components.textcat_multilabel.model] +@architectures = "spacy.TextCatEnsemble.v2" +nO = null + +[components.textcat_multilabel.model.tok2vec] +@architectures = "spacy-transformers.TransformerListener.v1" +grad_factor = 1.0 + +[components.textcat_multilabel.model.tok2vec.pooling] +@layers = "reduce_mean.v1" + +[components.textcat_multilabel.model.linear_model] +@architectures = "spacy.TextCatBOW.v1" +exclusive_classes = false +ngram_size = 1 +no_output_layer = false + +{% else -%} +[components.textcat_multilabel.model] +@architectures = "spacy.TextCatBOW.v1" exclusive_classes = false ngram_size = 1 no_output_layer = false @@ -288,13 +319,41 @@ width = ${components.tok2vec.model.encode.width} [components.textcat.model.linear_model] @architectures = "spacy.TextCatBOW.v1" -exclusive_classes = false +exclusive_classes = true ngram_size = 1 no_output_layer = false {% else -%} [components.textcat.model] @architectures = "spacy.TextCatBOW.v1" +exclusive_classes = true +ngram_size = 1 +no_output_layer = false +{%- endif %} +{%- endif %} + +{% if "textcat_multilabel" in components %} +[components.textcat_multilabel] +factory = "textcat_multilabel" + +{% if optimize == "accuracy" %} +[components.textcat_multilabel.model] +@architectures = "spacy.TextCatEnsemble.v2" +nO = null + +[components.textcat_multilabel.model.tok2vec] +@architectures = "spacy.Tok2VecListener.v1" +width = ${components.tok2vec.model.encode.width} + +[components.textcat_multilabel.model.linear_model] +@architectures = "spacy.TextCatBOW.v1" +exclusive_classes = false +ngram_size = 1 +no_output_layer = false + +{% else -%} +[components.textcat_multilabel.model] +@architectures = "spacy.TextCatBOW.v1" exclusive_classes = false ngram_size = 1 no_output_layer = false @@ -303,7 +362,7 @@ no_output_layer = false {% endif %} {% for pipe in components %} -{% if pipe not in ["tagger", "morphologizer", "parser", "ner", "textcat", "entity_linker"] %} +{% if pipe not in ["tagger", "morphologizer", "parser", "ner", "textcat", "textcat_multilabel", "entity_linker"] %} {# Other components defined by the user: we just assume they're factories #} [components.{{ pipe }}] factory = "{{ pipe }}" diff --git a/spacy/errors.py b/spacy/errors.py index 6d3591ab5..a286a5ac3 100644 --- a/spacy/errors.py +++ b/spacy/errors.py @@ -463,6 +463,10 @@ class Errors: "issue tracker: http://github.com/explosion/spaCy/issues") # TODO: fix numbering after merging develop into master + E895 = ("The 'textcat' component received gold-standard annotations with " + "multiple labels per document. In spaCy 3 you should use the " + "'textcat_multilabel' component for this instead. " + "Example of an offending annotation: {value}") E896 = ("There was an error using the static vectors. Ensure that the vectors " "of the vocab are properly initialized, or set 'include_static_vectors' " "to False.") diff --git a/spacy/pipeline/__init__.py b/spacy/pipeline/__init__.py index cec5b4eb5..1fa53a556 100644 --- a/spacy/pipeline/__init__.py +++ b/spacy/pipeline/__init__.py @@ -11,6 +11,7 @@ from .senter import SentenceRecognizer from .sentencizer import Sentencizer from .tagger import Tagger from .textcat import TextCategorizer +from .textcat_multilabel import MultiLabel_TextCategorizer from .tok2vec import Tok2Vec from .functions import merge_entities, merge_noun_chunks, merge_subtokens @@ -22,13 +23,14 @@ __all__ = [ "EntityRuler", "Morphologizer", "Lemmatizer", - "TrainablePipe", + "MultiLabel_TextCategorizer", "Pipe", "SentenceRecognizer", "Sentencizer", "Tagger", "TextCategorizer", "Tok2Vec", + "TrainablePipe", "merge_entities", "merge_noun_chunks", "merge_subtokens", diff --git a/spacy/pipeline/textcat.py b/spacy/pipeline/textcat.py index 0781a000c..8a5d6938e 100644 --- a/spacy/pipeline/textcat.py +++ b/spacy/pipeline/textcat.py @@ -14,7 +14,7 @@ from ..tokens import Doc from ..vocab import Vocab -default_model_config = """ +single_label_default_config = """ [model] @architectures = "spacy.TextCatEnsemble.v2" @@ -37,24 +37,24 @@ depth = 2 [model.linear_model] @architectures = "spacy.TextCatBOW.v1" -exclusive_classes = false +exclusive_classes = true ngram_size = 1 no_output_layer = false """ -DEFAULT_TEXTCAT_MODEL = Config().from_str(default_model_config)["model"] +DEFAULT_SINGLE_TEXTCAT_MODEL = Config().from_str(single_label_default_config)["model"] -bow_model_config = """ +single_label_bow_config = """ [model] @architectures = "spacy.TextCatBOW.v1" -exclusive_classes = false +exclusive_classes = true ngram_size = 1 no_output_layer = false """ -cnn_model_config = """ +single_label_cnn_config = """ [model] @architectures = "spacy.TextCatCNN.v1" -exclusive_classes = false +exclusive_classes = true [model.tok2vec] @architectures = "spacy.HashEmbedCNN.v1" @@ -71,7 +71,7 @@ subword_features = true @Language.factory( "textcat", assigns=["doc.cats"], - default_config={"threshold": 0.5, "model": DEFAULT_TEXTCAT_MODEL}, + default_config={"threshold": 0.5, "model": DEFAULT_SINGLE_TEXTCAT_MODEL}, default_score_weights={ "cats_score": 1.0, "cats_score_desc": None, @@ -103,7 +103,7 @@ def make_textcat( class TextCategorizer(TrainablePipe): - """Pipeline component for text classification. + """Pipeline component for single-label text classification. DOCS: https://nightly.spacy.io/api/textcategorizer """ @@ -111,7 +111,7 @@ class TextCategorizer(TrainablePipe): def __init__( self, vocab: Vocab, model: Model, name: str = "textcat", *, threshold: float ) -> None: - """Initialize a text categorizer. + """Initialize a text categorizer for single-label classification. vocab (Vocab): The shared vocabulary. model (thinc.api.Model): The Thinc Model powering the pipeline component. @@ -214,6 +214,7 @@ class TextCategorizer(TrainablePipe): losses = {} losses.setdefault(self.name, 0.0) validate_examples(examples, "TextCategorizer.update") + self._validate_categories(examples) if not any(len(eg.predicted) if eg.predicted else 0 for eg in examples): # Handle cases where there are no tokens in any docs. return losses @@ -256,6 +257,7 @@ class TextCategorizer(TrainablePipe): if self._rehearsal_model is None: return losses validate_examples(examples, "TextCategorizer.rehearse") + self._validate_categories(examples) docs = [eg.predicted for eg in examples] if not any(len(doc) for doc in docs): # Handle cases where there are no tokens in any docs. @@ -296,6 +298,7 @@ class TextCategorizer(TrainablePipe): DOCS: https://nightly.spacy.io/api/textcategorizer#get_loss """ validate_examples(examples, "TextCategorizer.get_loss") + self._validate_categories(examples) truths, not_missing = self._examples_to_truth(examples) not_missing = self.model.ops.asarray(not_missing) d_scores = (scores - truths) / scores.shape[0] @@ -341,6 +344,7 @@ class TextCategorizer(TrainablePipe): DOCS: https://nightly.spacy.io/api/textcategorizer#initialize """ validate_get_examples(get_examples, "TextCategorizer.initialize") + self._validate_categories(get_examples()) if labels is None: for example in get_examples(): for cat in example.y.cats: @@ -373,12 +377,20 @@ class TextCategorizer(TrainablePipe): DOCS: https://nightly.spacy.io/api/textcategorizer#score """ validate_examples(examples, "TextCategorizer.score") + self._validate_categories(examples) return Scorer.score_cats( examples, "cats", labels=self.labels, - multi_label=self.model.attrs["multi_label"], + multi_label=False, positive_label=self.cfg["positive_label"], threshold=self.cfg["threshold"], **kwargs, ) + + + def _validate_categories(self, examples: List[Example]): + """Check whether the provided examples all have single-label cats annotations.""" + for ex in examples: + if list(ex.reference.cats.values()).count(1.0) > 1: + raise ValueError(Errors.E895.format(value=ex.reference.cats)) diff --git a/spacy/pipeline/textcat_multilabel.py b/spacy/pipeline/textcat_multilabel.py new file mode 100644 index 000000000..fc8920414 --- /dev/null +++ b/spacy/pipeline/textcat_multilabel.py @@ -0,0 +1,191 @@ +from itertools import islice +from typing import Iterable, Optional, Dict, List, Callable, Any + +from thinc.api import Model, Config +from thinc.types import Floats2d + +from ..language import Language +from ..training import Example, validate_examples, validate_get_examples +from ..errors import Errors +from ..scorer import Scorer +from ..tokens import Doc +from ..vocab import Vocab +from .textcat import TextCategorizer + + +multi_label_default_config = """ +[model] +@architectures = "spacy.TextCatEnsemble.v2" + +[model.tok2vec] +@architectures = "spacy.Tok2Vec.v1" + +[model.tok2vec.embed] +@architectures = "spacy.MultiHashEmbed.v1" +width = 64 +rows = [2000, 2000, 1000, 1000, 1000, 1000] +attrs = ["ORTH", "LOWER", "PREFIX", "SUFFIX", "SHAPE", "ID"] +include_static_vectors = false + +[model.tok2vec.encode] +@architectures = "spacy.MaxoutWindowEncoder.v1" +width = ${model.tok2vec.embed.width} +window_size = 1 +maxout_pieces = 3 +depth = 2 + +[model.linear_model] +@architectures = "spacy.TextCatBOW.v1" +exclusive_classes = false +ngram_size = 1 +no_output_layer = false +""" +DEFAULT_MULTI_TEXTCAT_MODEL = Config().from_str(multi_label_default_config)["model"] + +multi_label_bow_config = """ +[model] +@architectures = "spacy.TextCatBOW.v1" +exclusive_classes = false +ngram_size = 1 +no_output_layer = false +""" + +multi_label_cnn_config = """ +[model] +@architectures = "spacy.TextCatCNN.v1" +exclusive_classes = false + +[model.tok2vec] +@architectures = "spacy.HashEmbedCNN.v1" +pretrained_vectors = null +width = 96 +depth = 4 +embed_size = 2000 +window_size = 1 +maxout_pieces = 3 +subword_features = true +""" + + +@Language.factory( + "textcat_multilabel", + assigns=["doc.cats"], + default_config={"threshold": 0.5, "model": DEFAULT_MULTI_TEXTCAT_MODEL}, + default_score_weights={ + "cats_score": 1.0, + "cats_score_desc": None, + "cats_micro_p": None, + "cats_micro_r": None, + "cats_micro_f": None, + "cats_macro_p": None, + "cats_macro_r": None, + "cats_macro_f": None, + "cats_macro_auc": None, + "cats_f_per_type": None, + "cats_macro_auc_per_type": None, + }, +) +def make_multilabel_textcat( + nlp: Language, name: str, model: Model[List[Doc], List[Floats2d]], threshold: float +) -> "TextCategorizer": + """Create a TextCategorizer compoment. The text categorizer predicts categories + over a whole document. It can learn one or more labels, and the labels can + be mutually exclusive (i.e. one true label per doc) or non-mutually exclusive + (i.e. zero or more labels may be true per doc). The multi-label setting is + controlled by the model instance that's provided. + + model (Model[List[Doc], List[Floats2d]]): A model instance that predicts + scores for each category. + threshold (float): Cutoff to consider a prediction "positive". + """ + return MultiLabel_TextCategorizer(nlp.vocab, model, name, threshold=threshold) + + +class MultiLabel_TextCategorizer(TextCategorizer): + """Pipeline component for multi-label text classification. + + DOCS: https://nightly.spacy.io/api/multilabel_textcategorizer + """ + + def __init__( + self, + vocab: Vocab, + model: Model, + name: str = "textcat_multilabel", + *, + threshold: float, + ) -> None: + """Initialize a text categorizer for multi-label classification. + + vocab (Vocab): The shared vocabulary. + model (thinc.api.Model): The Thinc Model powering the pipeline component. + name (str): The component instance name, used to add entries to the + losses during training. + threshold (float): Cutoff to consider a prediction "positive". + + DOCS: https://nightly.spacy.io/api/multilabel_textcategorizer#init + """ + self.vocab = vocab + self.model = model + self.name = name + self._rehearsal_model = None + cfg = {"labels": [], "threshold": threshold} + self.cfg = dict(cfg) + + def initialize( + self, + get_examples: Callable[[], Iterable[Example]], + *, + nlp: Optional[Language] = None, + labels: Optional[Dict] = None, + ): + """Initialize the pipe for training, using a representative set + of data examples. + + get_examples (Callable[[], Iterable[Example]]): Function that + returns a representative sample of gold-standard Example objects. + nlp (Language): The current nlp object the component is part of. + labels: The labels to add to the component, typically generated by the + `init labels` command. If no labels are provided, the get_examples + callback is used to extract the labels from the data. + + DOCS: https://nightly.spacy.io/api/multilabel_textcategorizer#initialize + """ + validate_get_examples(get_examples, "MultiLabel_TextCategorizer.initialize") + if labels is None: + for example in get_examples(): + for cat in example.y.cats: + self.add_label(cat) + else: + for label in labels: + self.add_label(label) + subbatch = list(islice(get_examples(), 10)) + doc_sample = [eg.reference for eg in subbatch] + label_sample, _ = self._examples_to_truth(subbatch) + self._require_labels() + assert len(doc_sample) > 0, Errors.E923.format(name=self.name) + assert len(label_sample) > 0, Errors.E923.format(name=self.name) + self.model.initialize(X=doc_sample, Y=label_sample) + + def score(self, examples: Iterable[Example], **kwargs) -> Dict[str, Any]: + """Score a batch of examples. + + examples (Iterable[Example]): The examples to score. + RETURNS (Dict[str, Any]): The scores, produced by Scorer.score_cats. + + DOCS: https://nightly.spacy.io/api/multilabel_textcategorizer#score + """ + validate_examples(examples, "MultiLabel_TextCategorizer.score") + return Scorer.score_cats( + examples, + "cats", + labels=self.labels, + multi_label=True, + threshold=self.cfg["threshold"], + **kwargs, + ) + + def _validate_categories(self, examples: List[Example]): + """This component allows any type of single- or multi-label annotations. + This method overwrites the more strict one from 'textcat'. """ + pass diff --git a/spacy/scorer.py b/spacy/scorer.py index 1c1a56371..dd0cde77b 100644 --- a/spacy/scorer.py +++ b/spacy/scorer.py @@ -460,7 +460,7 @@ class Scorer: gold_label, gold_score = max(gold_cats, key=lambda it: it[1]) if gold_score is not None and gold_score > 0: f_per_type[gold_label].fn += 1 - else: + elif pred_cats: pred_label, pred_score = max(pred_cats, key=lambda it: it[1]) if pred_score >= threshold: f_per_type[pred_label].fp += 1 diff --git a/spacy/tests/pipeline/test_textcat.py b/spacy/tests/pipeline/test_textcat.py index 733535b32..04a3eb27d 100644 --- a/spacy/tests/pipeline/test_textcat.py +++ b/spacy/tests/pipeline/test_textcat.py @@ -15,15 +15,31 @@ from spacy.training import Example from ..util import make_tempdir -TRAIN_DATA = [ +TRAIN_DATA_SINGLE_LABEL = [ ("I'm so happy.", {"cats": {"POSITIVE": 1.0, "NEGATIVE": 0.0}}), ("I'm so angry", {"cats": {"POSITIVE": 0.0, "NEGATIVE": 1.0}}), ] +TRAIN_DATA_MULTI_LABEL = [ + ("I'm angry and confused", {"cats": {"ANGRY": 1.0, "CONFUSED": 1.0, "HAPPY": 0.0}}), + ("I'm confused but happy", {"cats": {"ANGRY": 0.0, "CONFUSED": 1.0, "HAPPY": 1.0}}), +] -def make_get_examples(nlp): + +def make_get_examples_single_label(nlp): train_examples = [] - for t in TRAIN_DATA: + for t in TRAIN_DATA_SINGLE_LABEL: + train_examples.append(Example.from_dict(nlp.make_doc(t[0]), t[1])) + + def get_examples(): + return train_examples + + return get_examples + + +def make_get_examples_multi_label(nlp): + train_examples = [] + for t in TRAIN_DATA_MULTI_LABEL: train_examples.append(Example.from_dict(nlp.make_doc(t[0]), t[1])) def get_examples(): @@ -85,49 +101,75 @@ def test_textcat_learns_multilabel(): assert score > 0.5 -def test_label_types(): +@pytest.mark.parametrize("name", ["textcat", "textcat_multilabel"]) +def test_label_types(name): nlp = Language() - textcat = nlp.add_pipe("textcat") + textcat = nlp.add_pipe(name) textcat.add_label("answer") with pytest.raises(ValueError): textcat.add_label(9) -def test_no_label(): +@pytest.mark.parametrize("name", ["textcat", "textcat_multilabel"]) +def test_no_label(name): nlp = Language() - nlp.add_pipe("textcat") + nlp.add_pipe(name) with pytest.raises(ValueError): nlp.initialize() -def test_implicit_label(): +@pytest.mark.parametrize( + "name,get_examples", + [ + ("textcat", make_get_examples_single_label), + ("textcat_multilabel", make_get_examples_multi_label), + ], +) +def test_implicit_label(name, get_examples): nlp = Language() - nlp.add_pipe("textcat") - nlp.initialize(get_examples=make_get_examples(nlp)) + nlp.add_pipe(name) + nlp.initialize(get_examples=get_examples(nlp)) -def test_no_resize(): +@pytest.mark.parametrize("name", ["textcat", "textcat_multilabel"]) +def test_no_resize(name): nlp = Language() - textcat = nlp.add_pipe("textcat") + textcat = nlp.add_pipe(name) textcat.add_label("POSITIVE") textcat.add_label("NEGATIVE") nlp.initialize() - assert textcat.model.get_dim("nO") == 2 + assert textcat.model.get_dim("nO") >= 2 # this throws an error because the textcat can't be resized after initialization with pytest.raises(ValueError): textcat.add_label("NEUTRAL") -def test_initialize_examples(): +def test_error_with_multi_labels(): nlp = Language() textcat = nlp.add_pipe("textcat") - for text, annotations in TRAIN_DATA: + train_examples = [] + for text, annotations in TRAIN_DATA_MULTI_LABEL: + train_examples.append(Example.from_dict(nlp.make_doc(text), annotations)) + with pytest.raises(ValueError): + optimizer = nlp.initialize(get_examples=lambda: train_examples) + + +@pytest.mark.parametrize( + "name,get_examples, train_data", + [ + ("textcat", make_get_examples_single_label, TRAIN_DATA_SINGLE_LABEL), + ("textcat_multilabel", make_get_examples_multi_label, TRAIN_DATA_MULTI_LABEL), + ], +) +def test_initialize_examples(name, get_examples, train_data): + nlp = Language() + textcat = nlp.add_pipe(name) + for text, annotations in train_data: for label, value in annotations.get("cats").items(): textcat.add_label(label) # you shouldn't really call this more than once, but for testing it should be fine nlp.initialize() - get_examples = make_get_examples(nlp) - nlp.initialize(get_examples=get_examples) + nlp.initialize(get_examples=get_examples(nlp)) with pytest.raises(TypeError): nlp.initialize(get_examples=lambda: None) with pytest.raises(TypeError): @@ -138,12 +180,10 @@ def test_overfitting_IO(): # Simple test to try and quickly overfit the single-label textcat component - ensuring the ML models work correctly fix_random_seed(0) nlp = English() - nlp.config["initialize"]["components"]["textcat"] = {"positive_label": "POSITIVE"} - # Set exclusive labels - config = {"model": {"linear_model": {"exclusive_classes": True}}} - textcat = nlp.add_pipe("textcat", config=config) + textcat = nlp.add_pipe("textcat") + train_examples = [] - for text, annotations in TRAIN_DATA: + for text, annotations in TRAIN_DATA_SINGLE_LABEL: train_examples.append(Example.from_dict(nlp.make_doc(text), annotations)) optimizer = nlp.initialize(get_examples=lambda: train_examples) assert textcat.model.get_dim("nO") == 2 @@ -172,6 +212,8 @@ def test_overfitting_IO(): # Test scoring scores = nlp.evaluate(train_examples) assert scores["cats_micro_f"] == 1.0 + assert scores["cats_macro_f"] == 1.0 + assert scores["cats_macro_auc"] == 1.0 assert scores["cats_score"] == 1.0 assert "cats_score_desc" in scores @@ -192,7 +234,7 @@ def test_overfitting_IO_multi(): config = {"model": {"linear_model": {"exclusive_classes": False}}} textcat = nlp.add_pipe("textcat", config=config) train_examples = [] - for text, annotations in TRAIN_DATA: + for text, annotations in TRAIN_DATA_MULTI_LABEL: train_examples.append(Example.from_dict(nlp.make_doc(text), annotations)) optimizer = nlp.initialize(get_examples=lambda: train_examples) assert textcat.model.get_dim("nO") == 2 @@ -231,27 +273,75 @@ def test_overfitting_IO_multi(): assert_equal(batch_cats_1, no_batch_cats) +def test_overfitting_IO_multi(): + # Simple test to try and quickly overfit the multi-label textcat component - ensuring the ML models work correctly + fix_random_seed(0) + nlp = English() + textcat = nlp.add_pipe("textcat_multilabel") + + train_examples = [] + for text, annotations in TRAIN_DATA_MULTI_LABEL: + train_examples.append(Example.from_dict(nlp.make_doc(text), annotations)) + optimizer = nlp.initialize(get_examples=lambda: train_examples) + assert textcat.model.get_dim("nO") == 3 + + for i in range(100): + losses = {} + nlp.update(train_examples, sgd=optimizer, losses=losses) + assert losses["textcat_multilabel"] < 0.01 + + # test the trained model + test_text = "I am confused but happy." + doc = nlp(test_text) + cats = doc.cats + assert cats["HAPPY"] > 0.9 + assert cats["CONFUSED"] > 0.9 + + # Also test the results are still the same after IO + with make_tempdir() as tmp_dir: + nlp.to_disk(tmp_dir) + nlp2 = util.load_model_from_path(tmp_dir) + doc2 = nlp2(test_text) + cats2 = doc2.cats + assert cats2["HAPPY"] > 0.9 + assert cats2["CONFUSED"] > 0.9 + + # Test scoring + scores = nlp.evaluate(train_examples) + assert scores["cats_micro_f"] == 1.0 + assert scores["cats_macro_f"] == 1.0 + assert "cats_score_desc" in scores + + # Make sure that running pipe twice, or comparing to call, always amounts to the same predictions + texts = ["Just a sentence.", "I like green eggs.", "I am happy.", "I eat ham."] + batch_deps_1 = [doc.cats for doc in nlp.pipe(texts)] + batch_deps_2 = [doc.cats for doc in nlp.pipe(texts)] + no_batch_deps = [doc.cats for doc in [nlp(text) for text in texts]] + assert_equal(batch_deps_1, batch_deps_2) + assert_equal(batch_deps_1, no_batch_deps) + + # fmt: off @pytest.mark.parametrize( - "textcat_config", + "name,train_data,textcat_config", [ - {"@architectures": "spacy.TextCatBOW.v1", "exclusive_classes": False, "ngram_size": 1, "no_output_layer": False}, - {"@architectures": "spacy.TextCatBOW.v1", "exclusive_classes": True, "ngram_size": 4, "no_output_layer": False}, - {"@architectures": "spacy.TextCatBOW.v1", "exclusive_classes": False, "ngram_size": 3, "no_output_layer": True}, - {"@architectures": "spacy.TextCatBOW.v1", "exclusive_classes": True, "ngram_size": 2, "no_output_layer": True}, - {"@architectures": "spacy.TextCatEnsemble.v2", "tok2vec": DEFAULT_TOK2VEC_MODEL, "linear_model": {"@architectures": "spacy.TextCatBOW.v1", "exclusive_classes": False, "ngram_size": 1, "no_output_layer": False}}, - {"@architectures": "spacy.TextCatEnsemble.v2", "tok2vec": DEFAULT_TOK2VEC_MODEL, "linear_model": {"@architectures": "spacy.TextCatBOW.v1", "exclusive_classes": True, "ngram_size": 5, "no_output_layer": False}}, - {"@architectures": "spacy.TextCatCNN.v1", "tok2vec": DEFAULT_TOK2VEC_MODEL, "exclusive_classes": True}, - {"@architectures": "spacy.TextCatCNN.v1", "tok2vec": DEFAULT_TOK2VEC_MODEL, "exclusive_classes": False}, + ("textcat_multilabel", TRAIN_DATA_MULTI_LABEL, {"@architectures": "spacy.TextCatBOW.v1", "exclusive_classes": False, "ngram_size": 1, "no_output_layer": False}), + ("textcat", TRAIN_DATA_SINGLE_LABEL, {"@architectures": "spacy.TextCatBOW.v1", "exclusive_classes": True, "ngram_size": 4, "no_output_layer": False}), + ("textcat_multilabel", TRAIN_DATA_MULTI_LABEL, {"@architectures": "spacy.TextCatBOW.v1", "exclusive_classes": False, "ngram_size": 3, "no_output_layer": True}), + ("textcat", TRAIN_DATA_SINGLE_LABEL, {"@architectures": "spacy.TextCatBOW.v1", "exclusive_classes": True, "ngram_size": 2, "no_output_layer": True}), + ("textcat_multilabel", TRAIN_DATA_MULTI_LABEL, {"@architectures": "spacy.TextCatEnsemble.v2", "tok2vec": DEFAULT_TOK2VEC_MODEL, "linear_model": {"@architectures": "spacy.TextCatBOW.v1", "exclusive_classes": False, "ngram_size": 1, "no_output_layer": False}}), + ("textcat", TRAIN_DATA_SINGLE_LABEL, {"@architectures": "spacy.TextCatEnsemble.v2", "tok2vec": DEFAULT_TOK2VEC_MODEL, "linear_model": {"@architectures": "spacy.TextCatBOW.v1", "exclusive_classes": True, "ngram_size": 5, "no_output_layer": False}}), + ("textcat", TRAIN_DATA_SINGLE_LABEL, {"@architectures": "spacy.TextCatCNN.v1", "tok2vec": DEFAULT_TOK2VEC_MODEL, "exclusive_classes": True}), + ("textcat_multilabel", TRAIN_DATA_MULTI_LABEL, {"@architectures": "spacy.TextCatCNN.v1", "tok2vec": DEFAULT_TOK2VEC_MODEL, "exclusive_classes": False}), ], ) # fmt: on -def test_textcat_configs(textcat_config): +def test_textcat_configs(name, train_data, textcat_config): pipe_config = {"model": textcat_config} nlp = English() - textcat = nlp.add_pipe("textcat", config=pipe_config) + textcat = nlp.add_pipe(name, config=pipe_config) train_examples = [] - for text, annotations in TRAIN_DATA: + for text, annotations in train_data: train_examples.append(Example.from_dict(nlp.make_doc(text), annotations)) for label, value in annotations.get("cats").items(): textcat.add_label(label) @@ -264,15 +354,24 @@ def test_textcat_configs(textcat_config): def test_positive_class(): nlp = English() textcat = nlp.add_pipe("textcat") - get_examples = make_get_examples(nlp) + get_examples = make_get_examples_single_label(nlp) textcat.initialize(get_examples, labels=["POS", "NEG"], positive_label="POS") assert textcat.labels == ("POS", "NEG") + assert textcat.cfg["positive_label"] == "POS" + + textcat_multilabel = nlp.add_pipe("textcat_multilabel") + get_examples = make_get_examples_multi_label(nlp) + with pytest.raises(TypeError): + textcat_multilabel.initialize(get_examples, labels=["POS", "NEG"], positive_label="POS") + textcat_multilabel.initialize(get_examples, labels=["FICTION", "DRAMA"]) + assert textcat_multilabel.labels == ("FICTION", "DRAMA") + assert "positive_label" not in textcat_multilabel.cfg def test_positive_class_not_present(): nlp = English() textcat = nlp.add_pipe("textcat") - get_examples = make_get_examples(nlp) + get_examples = make_get_examples_single_label(nlp) with pytest.raises(ValueError): textcat.initialize(get_examples, labels=["SOME", "THING"], positive_label="POS") @@ -280,11 +379,9 @@ def test_positive_class_not_present(): def test_positive_class_not_binary(): nlp = English() textcat = nlp.add_pipe("textcat") - get_examples = make_get_examples(nlp) + get_examples = make_get_examples_multi_label(nlp) with pytest.raises(ValueError): - textcat.initialize( - get_examples, labels=["SOME", "THING", "POS"], positive_label="POS" - ) + textcat.initialize(get_examples, labels=["SOME", "THING", "POS"], positive_label="POS") def test_textcat_evaluation(): diff --git a/spacy/tests/regression/test_issue5501-6000.py b/spacy/tests/regression/test_issue5501-6000.py index 65fc8dda7..8d1199e98 100644 --- a/spacy/tests/regression/test_issue5501-6000.py +++ b/spacy/tests/regression/test_issue5501-6000.py @@ -2,8 +2,11 @@ import pytest from thinc.api import Config, fix_random_seed from spacy.lang.en import English -from spacy.pipeline.textcat import default_model_config, bow_model_config -from spacy.pipeline.textcat import cnn_model_config +from spacy.pipeline.textcat import single_label_default_config, single_label_bow_config +from spacy.pipeline.textcat import single_label_cnn_config +from spacy.pipeline.textcat_multilabel import multi_label_default_config +from spacy.pipeline.textcat_multilabel import multi_label_bow_config +from spacy.pipeline.textcat_multilabel import multi_label_cnn_config from spacy.tokens import Span from spacy import displacy from spacy.pipeline import merge_entities @@ -11,7 +14,15 @@ from spacy.training import Example @pytest.mark.parametrize( - "textcat_config", [default_model_config, bow_model_config, cnn_model_config] + "textcat_config", + [ + single_label_default_config, + single_label_bow_config, + single_label_cnn_config, + multi_label_default_config, + multi_label_bow_config, + multi_label_cnn_config, + ], ) def test_issue5551(textcat_config): """Test that after fixing the random seed, the results of the pipeline are truly identical""" diff --git a/spacy/tests/serialize/test_serialize_pipeline.py b/spacy/tests/serialize/test_serialize_pipeline.py index 6c24257d0..48c7082bb 100644 --- a/spacy/tests/serialize/test_serialize_pipeline.py +++ b/spacy/tests/serialize/test_serialize_pipeline.py @@ -4,7 +4,7 @@ from spacy.pipeline import Tagger, DependencyParser, EntityRecognizer from spacy.pipeline import TextCategorizer, SentenceRecognizer, TrainablePipe from spacy.pipeline.dep_parser import DEFAULT_PARSER_MODEL from spacy.pipeline.tagger import DEFAULT_TAGGER_MODEL -from spacy.pipeline.textcat import DEFAULT_TEXTCAT_MODEL +from spacy.pipeline.textcat import DEFAULT_SINGLE_TEXTCAT_MODEL from spacy.pipeline.senter import DEFAULT_SENTER_MODEL from spacy.lang.en import English from thinc.api import Linear @@ -188,7 +188,7 @@ def test_serialize_tagger_strings(en_vocab, de_vocab, taggers): def test_serialize_textcat_empty(en_vocab): # See issue #1105 - cfg = {"model": DEFAULT_TEXTCAT_MODEL} + cfg = {"model": DEFAULT_SINGLE_TEXTCAT_MODEL} model = registry.resolve(cfg, validate=True)["model"] textcat = TextCategorizer(en_vocab, model, threshold=0.5) textcat.to_bytes(exclude=["vocab"]) diff --git a/spacy/tests/training/test_readers.py b/spacy/tests/training/test_readers.py index 86166a048..1c698abcc 100644 --- a/spacy/tests/training/test_readers.py +++ b/spacy/tests/training/test_readers.py @@ -51,7 +51,7 @@ def test_readers(): for example in train_corpus(nlp): nlp.update([example], sgd=optimizer) scores = nlp.evaluate(list(dev_corpus(nlp))) - assert scores["cats_score"] == 0.0 + assert scores["cats_macro_auc"] == 0.0 # ensure the pipeline runs doc = nlp("Quick test") assert doc.cats diff --git a/website/docs/api/data-formats.md b/website/docs/api/data-formats.md index fc2cda547..4f134c808 100644 --- a/website/docs/api/data-formats.md +++ b/website/docs/api/data-formats.md @@ -94,7 +94,7 @@ Defines the `nlp` object, its tokenizer and > > [components.textcat.model] > @architectures = "spacy.TextCatBOW.v1" -> exclusive_classes = false +> exclusive_classes = true > ngram_size = 1 > no_output_layer = false > ``` diff --git a/website/docs/api/multilabel_textcategorizer.md b/website/docs/api/multilabel_textcategorizer.md new file mode 100644 index 000000000..8400c68f7 --- /dev/null +++ b/website/docs/api/multilabel_textcategorizer.md @@ -0,0 +1,454 @@ +--- +title: Multi-label TextCategorizer +tag: class +source: spacy/pipeline/textcat_multilabel.py +new: 3 +teaser: 'Pipeline component for multi-label text classification' +api_base_class: /api/pipe +api_string_name: textcat_multilabel +api_trainable: true +--- + +The text categorizer predicts **categories over a whole document**. It +learns non-mutually exclusive labels, which means that zero or more labels +may be true per document. + +## Config and implementation {#config} + +The default config is defined by the pipeline component factory and describes +how the component should be configured. You can override its settings via the +`config` argument on [`nlp.add_pipe`](/api/language#add_pipe) or in your +[`config.cfg` for training](/usage/training#config). See the +[model architectures](/api/architectures) documentation for details on the +architectures and their arguments and hyperparameters. + +> #### Example +> +> ```python +> from spacy.pipeline.textcat_multilabel import DEFAULT_MULTI_TEXTCAT_MODEL +> config = { +> "threshold": 0.5, +> "model": DEFAULT_MULTI_TEXTCAT_MODEL, +> } +> nlp.add_pipe("textcat_multilabel", config=config) +> ``` + +| Setting | Description | +| ----------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `threshold` | Cutoff to consider a prediction "positive", relevant when printing accuracy results. ~~float~~ | +| `model` | A model instance that predicts scores for each category. Defaults to [TextCatEnsemble](/api/architectures#TextCatEnsemble). ~~Model[List[Doc], List[Floats2d]]~~ | + +```python +%%GITHUB_SPACY/spacy/pipeline/textcat_multilabel.py +``` + +## MultiLabel_TextCategorizer.\_\_init\_\_ {#init tag="method"} + +> #### Example +> +> ```python +> # Construction via add_pipe with default model +> textcat = nlp.add_pipe("textcat_multilabel") +> +> # Construction via add_pipe with custom model +> config = {"model": {"@architectures": "my_textcat"}} +> parser = nlp.add_pipe("textcat_multilabel", config=config) +> +> # Construction from class +> from spacy.pipeline import MultiLabel_TextCategorizer +> textcat = MultiLabel_TextCategorizer(nlp.vocab, model, threshold=0.5) +> ``` + +Create a new pipeline instance. In your application, you would normally use a +shortcut for this and instantiate the component using its string name and +[`nlp.add_pipe`](/api/language#create_pipe). + +| Name | Description | +| -------------- | -------------------------------------------------------------------------------------------------------------------------- | +| `vocab` | The shared vocabulary. ~~Vocab~~ | +| `model` | The Thinc [`Model`](https://thinc.ai/docs/api-model) powering the pipeline component. ~~Model[List[Doc], List[Floats2d]]~~ | +| `name` | String name of the component instance. Used to add entries to the `losses` during training. ~~str~~ | +| _keyword-only_ | | +| `threshold` | Cutoff to consider a prediction "positive", relevant when printing accuracy results. ~~float~~ | + +## MultiLabel_TextCategorizer.\_\_call\_\_ {#call tag="method"} + +Apply the pipe to one document. The document is modified in place, and returned. +This usually happens under the hood when the `nlp` object is called on a text +and all pipeline components are applied to the `Doc` in order. Both +[`__call__`](/api/multilabel_textcategorizer#call) and [`pipe`](/api/multilabel_textcategorizer#pipe) +delegate to the [`predict`](/api/multilabel_textcategorizer#predict) and +[`set_annotations`](/api/multilabel_textcategorizer#set_annotations) methods. + +> #### Example +> +> ```python +> doc = nlp("This is a sentence.") +> textcat = nlp.add_pipe("textcat_multilabel") +> # This usually happens under the hood +> processed = textcat(doc) +> ``` + +| Name | Description | +| ----------- | -------------------------------- | +| `doc` | The document to process. ~~Doc~~ | +| **RETURNS** | The processed document. ~~Doc~~ | + +## MultiLabel_TextCategorizer.pipe {#pipe tag="method"} + +Apply the pipe to a stream of documents. This usually happens under the hood +when the `nlp` object is called on a text and all pipeline components are +applied to the `Doc` in order. Both [`__call__`](/api/multilabel_textcategorizer#call) and +[`pipe`](/api/multilabel_textcategorizer#pipe) delegate to the +[`predict`](/api/multilabel_textcategorizer#predict) and +[`set_annotations`](/api/multilabel_textcategorizer#set_annotations) methods. + +> #### Example +> +> ```python +> textcat = nlp.add_pipe("textcat_multilabel") +> for doc in textcat.pipe(docs, batch_size=50): +> pass +> ``` + +| Name | Description | +| -------------- | ------------------------------------------------------------- | +| `stream` | A stream of documents. ~~Iterable[Doc]~~ | +| _keyword-only_ | | +| `batch_size` | The number of documents to buffer. Defaults to `128`. ~~int~~ | +| **YIELDS** | The processed documents in order. ~~Doc~~ | + +## MultiLabel_TextCategorizer.initialize {#initialize tag="method" new="3"} + +Initialize the component for training. `get_examples` should be a function that +returns an iterable of [`Example`](/api/example) objects. The data examples are +used to **initialize the model** of the component and can either be the full +training data or a representative sample. Initialization includes validating the +network, +[inferring missing shapes](https://thinc.ai/docs/usage-models#validation) and +setting up the label scheme based on the data. This method is typically called +by [`Language.initialize`](/api/language#initialize) and lets you customize +arguments it receives via the +[`[initialize.components]`](/api/data-formats#config-initialize) block in the +config. + + + +This method was previously called `begin_training`. + + + +> #### Example +> +> ```python +> textcat = nlp.add_pipe("textcat_multilabel") +> textcat.initialize(lambda: [], nlp=nlp) +> ``` +> +> ```ini +> ### config.cfg +> [initialize.components.textcat_multilabel] +> +> [initialize.components.textcat_multilabel.labels] +> @readers = "spacy.read_labels.v1" +> path = "corpus/labels/textcat.json +> ``` + +| Name | Description | +| ---------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `get_examples` | Function that returns gold-standard annotations in the form of [`Example`](/api/example) objects. ~~Callable[[], Iterable[Example]]~~ | +| _keyword-only_ | | +| `nlp` | The current `nlp` object. Defaults to `None`. ~~Optional[Language]~~ | +| `labels` | The label information to add to the component, as provided by the [`label_data`](#label_data) property after initialization. To generate a reusable JSON file from your data, you should run the [`init labels`](/api/cli#init-labels) command. If no labels are provided, the `get_examples` callback is used to extract the labels from the data, which may be a lot slower. ~~Optional[Iterable[str]]~~ | + +## MultiLabel_TextCategorizer.predict {#predict tag="method"} + +Apply the component's model to a batch of [`Doc`](/api/doc) objects without +modifying them. + +> #### Example +> +> ```python +> textcat = nlp.add_pipe("textcat_multilabel") +> scores = textcat.predict([doc1, doc2]) +> ``` + +| Name | Description | +| ----------- | ------------------------------------------- | +| `docs` | The documents to predict. ~~Iterable[Doc]~~ | +| **RETURNS** | The model's prediction for each document. | + +## MultiLabel_TextCategorizer.set_annotations {#set_annotations tag="method"} + +Modify a batch of [`Doc`](/api/doc) objects using pre-computed scores. + +> #### Example +> +> ```python +> textcat = nlp.add_pipe("textcat_multilabel") +> scores = textcat.predict(docs) +> textcat.set_annotations(docs, scores) +> ``` + +| Name | Description | +| -------- | --------------------------------------------------------- | +| `docs` | The documents to modify. ~~Iterable[Doc]~~ | +| `scores` | The scores to set, produced by `MultiLabel_TextCategorizer.predict`. | + +## MultiLabel_TextCategorizer.update {#update tag="method"} + +Learn from a batch of [`Example`](/api/example) objects containing the +predictions and gold-standard annotations, and update the component's model. +Delegates to [`predict`](/api/multilabel_textcategorizer#predict) and +[`get_loss`](/api/multilabel_textcategorizer#get_loss). + +> #### Example +> +> ```python +> textcat = nlp.add_pipe("textcat_multilabel") +> optimizer = nlp.initialize() +> losses = textcat.update(examples, sgd=optimizer) +> ``` + +| Name | Description | +| ----------------- | ---------------------------------------------------------------------------------------------------------------------------------- | +| `examples` | A batch of [`Example`](/api/example) objects to learn from. ~~Iterable[Example]~~ | +| _keyword-only_ | | +| `drop` | The dropout rate. ~~float~~ | +| `set_annotations` | Whether or not to update the `Example` objects with the predictions, delegating to [`set_annotations`](#set_annotations). ~~bool~~ | +| `sgd` | An optimizer. Will be created via [`create_optimizer`](#create_optimizer) if not set. ~~Optional[Optimizer]~~ | +| `losses` | Optional record of the loss during training. Updated using the component name as the key. ~~Optional[Dict[str, float]]~~ | +| **RETURNS** | The updated `losses` dictionary. ~~Dict[str, float]~~ | + +## MultiLabel_TextCategorizer.rehearse {#rehearse tag="method,experimental" new="3"} + +Perform a "rehearsal" update from a batch of data. Rehearsal updates teach the +current model to make predictions similar to an initial model to try to address +the "catastrophic forgetting" problem. This feature is experimental. + +> #### Example +> +> ```python +> textcat = nlp.add_pipe("textcat_multilabel") +> optimizer = nlp.resume_training() +> losses = textcat.rehearse(examples, sgd=optimizer) +> ``` + +| Name | Description | +| -------------- | ------------------------------------------------------------------------------------------------------------------------ | +| `examples` | A batch of [`Example`](/api/example) objects to learn from. ~~Iterable[Example]~~ | +| _keyword-only_ | | +| `drop` | The dropout rate. ~~float~~ | +| `sgd` | An optimizer. Will be created via [`create_optimizer`](#create_optimizer) if not set. ~~Optional[Optimizer]~~ | +| `losses` | Optional record of the loss during training. Updated using the component name as the key. ~~Optional[Dict[str, float]]~~ | +| **RETURNS** | The updated `losses` dictionary. ~~Dict[str, float]~~ | + +## MultiLabel_TextCategorizer.get_loss {#get_loss tag="method"} + +Find the loss and gradient of loss for the batch of documents and their +predicted scores. + +> #### Example +> +> ```python +> textcat = nlp.add_pipe("textcat_multilabel") +> scores = textcat.predict([eg.predicted for eg in examples]) +> loss, d_loss = textcat.get_loss(examples, scores) +> ``` + +| Name | Description | +| ----------- | --------------------------------------------------------------------------- | +| `examples` | The batch of examples. ~~Iterable[Example]~~ | +| `scores` | Scores representing the model's predictions. | +| **RETURNS** | The loss and the gradient, i.e. `(loss, gradient)`. ~~Tuple[float, float]~~ | + +## MultiLabel_TextCategorizer.score {#score tag="method" new="3"} + +Score a batch of examples. + +> #### Example +> +> ```python +> scores = textcat.score(examples) +> ``` + +| Name | Description | +| ---------------- | -------------------------------------------------------------------------------------------------------------------- | +| `examples` | The examples to score. ~~Iterable[Example]~~ | +| _keyword-only_ | | +| **RETURNS** | The scores, produced by [`Scorer.score_cats`](/api/scorer#score_cats). ~~Dict[str, Union[float, Dict[str, float]]]~~ | + +## MultiLabel_TextCategorizer.create_optimizer {#create_optimizer tag="method"} + +Create an optimizer for the pipeline component. + +> #### Example +> +> ```python +> textcat = nlp.add_pipe("textcat") +> optimizer = textcat.create_optimizer() +> ``` + +| Name | Description | +| ----------- | ---------------------------- | +| **RETURNS** | The optimizer. ~~Optimizer~~ | + +## MultiLabel_TextCategorizer.use_params {#use_params tag="method, contextmanager"} + +Modify the pipe's model to use the given parameter values. + +> #### Example +> +> ```python +> textcat = nlp.add_pipe("textcat") +> with textcat.use_params(optimizer.averages): +> textcat.to_disk("/best_model") +> ``` + +| Name | Description | +| -------- | -------------------------------------------------- | +| `params` | The parameter values to use in the model. ~~dict~~ | + +## MultiLabel_TextCategorizer.add_label {#add_label tag="method"} + +Add a new label to the pipe. Raises an error if the output dimension is already +set, or if the model has already been fully [initialized](#initialize). Note +that you don't have to call this method if you provide a **representative data +sample** to the [`initialize`](#initialize) method. In this case, all labels +found in the sample will be automatically added to the model, and the output +dimension will be [inferred](/usage/layers-architectures#thinc-shape-inference) +automatically. + +> #### Example +> +> ```python +> textcat = nlp.add_pipe("textcat") +> textcat.add_label("MY_LABEL") +> ``` + +| Name | Description | +| ----------- | ----------------------------------------------------------- | +| `label` | The label to add. ~~str~~ | +| **RETURNS** | `0` if the label is already present, otherwise `1`. ~~int~~ | + +## MultiLabel_TextCategorizer.to_disk {#to_disk tag="method"} + +Serialize the pipe to disk. + +> #### Example +> +> ```python +> textcat = nlp.add_pipe("textcat") +> textcat.to_disk("/path/to/textcat") +> ``` + +| Name | Description | +| -------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | +| `path` | A path to a directory, which will be created if it doesn't exist. Paths may be either strings or `Path`-like objects. ~~Union[str, Path]~~ | +| _keyword-only_ | | +| `exclude` | String names of [serialization fields](#serialization-fields) to exclude. ~~Iterable[str]~~ | + +## MultiLabel_TextCategorizer.from_disk {#from_disk tag="method"} + +Load the pipe from disk. Modifies the object in place and returns it. + +> #### Example +> +> ```python +> textcat = nlp.add_pipe("textcat") +> textcat.from_disk("/path/to/textcat") +> ``` + +| Name | Description | +| -------------- | ----------------------------------------------------------------------------------------------- | +| `path` | A path to a directory. Paths may be either strings or `Path`-like objects. ~~Union[str, Path]~~ | +| _keyword-only_ | | +| `exclude` | String names of [serialization fields](#serialization-fields) to exclude. ~~Iterable[str]~~ | +| **RETURNS** | The modified `MultiLabel_TextCategorizer` object. ~~MultiLabel_TextCategorizer~~ | + +## MultiLabel_TextCategorizer.to_bytes {#to_bytes tag="method"} + +> #### Example +> +> ```python +> textcat = nlp.add_pipe("textcat") +> textcat_bytes = textcat.to_bytes() +> ``` + +Serialize the pipe to a bytestring. + +| Name | Description | +| -------------- | ------------------------------------------------------------------------------------------- | +| _keyword-only_ | | +| `exclude` | String names of [serialization fields](#serialization-fields) to exclude. ~~Iterable[str]~~ | +| **RETURNS** | The serialized form of the `MultiLabel_TextCategorizer` object. ~~bytes~~ | + +## MultiLabel_TextCategorizer.from_bytes {#from_bytes tag="method"} + +Load the pipe from a bytestring. Modifies the object in place and returns it. + +> #### Example +> +> ```python +> textcat_bytes = textcat.to_bytes() +> textcat = nlp.add_pipe("textcat") +> textcat.from_bytes(textcat_bytes) +> ``` + +| Name | Description | +| -------------- | ------------------------------------------------------------------------------------------- | +| `bytes_data` | The data to load from. ~~bytes~~ | +| _keyword-only_ | | +| `exclude` | String names of [serialization fields](#serialization-fields) to exclude. ~~Iterable[str]~~ | +| **RETURNS** | The `MultiLabel_TextCategorizer` object. ~~MultiLabel_TextCategorizer~~ | + +## MultiLabel_TextCategorizer.labels {#labels tag="property"} + +The labels currently added to the component. + +> #### Example +> +> ```python +> textcat.add_label("MY_LABEL") +> assert "MY_LABEL" in textcat.labels +> ``` + +| Name | Description | +| ----------- | ------------------------------------------------------ | +| **RETURNS** | The labels added to the component. ~~Tuple[str, ...]~~ | + +## MultiLabel_TextCategorizer.label_data {#label_data tag="property" new="3"} + +The labels currently added to the component and their internal meta information. +This is the data generated by [`init labels`](/api/cli#init-labels) and used by +[`MultiLabel_TextCategorizer.initialize`](/api/multilabel_textcategorizer#initialize) to initialize +the model with a pre-defined label set. + +> #### Example +> +> ```python +> labels = textcat.label_data +> textcat.initialize(lambda: [], nlp=nlp, labels=labels) +> ``` + +| Name | Description | +| ----------- | ---------------------------------------------------------- | +| **RETURNS** | The label data added to the component. ~~Tuple[str, ...]~~ | + +## Serialization fields {#serialization-fields} + +During serialization, spaCy will export several data fields used to restore +different aspects of the object. If needed, you can exclude them from +serialization by passing in the string names via the `exclude` argument. + +> #### Example +> +> ```python +> data = textcat.to_disk("/path", exclude=["vocab"]) +> ``` + +| Name | Description | +| ------- | -------------------------------------------------------------- | +| `vocab` | The shared [`Vocab`](/api/vocab). | +| `cfg` | The config file. You usually don't want to exclude this. | +| `model` | The binary model data. You usually don't want to exclude this. | diff --git a/website/docs/api/textcategorizer.md b/website/docs/api/textcategorizer.md index 447765e15..016b9c310 100644 --- a/website/docs/api/textcategorizer.md +++ b/website/docs/api/textcategorizer.md @@ -3,17 +3,15 @@ title: TextCategorizer tag: class source: spacy/pipeline/textcat.py new: 2 -teaser: 'Pipeline component for text classification' +teaser: 'Pipeline component for single-label text classification' api_base_class: /api/pipe api_string_name: textcat api_trainable: true --- The text categorizer predicts **categories over a whole document**. It can learn -one or more labels, and the labels can be mutually exclusive (i.e. one true -label per document) or non-mutually exclusive (i.e. zero or more labels may be -true per document). The multi-label setting is controlled by the model instance -that's provided. +one or more labels, and the labels are mutually exclusive - there is exactly one +true label per document. ## Config and implementation {#config} @@ -27,10 +25,10 @@ architectures and their arguments and hyperparameters. > #### Example > > ```python -> from spacy.pipeline.textcat import DEFAULT_TEXTCAT_MODEL +> from spacy.pipeline.textcat import DEFAULT_SINGLE_TEXTCAT_MODEL > config = { > "threshold": 0.5, -> "model": DEFAULT_TEXTCAT_MODEL, +> "model": DEFAULT_SINGLE_TEXTCAT_MODEL, > } > nlp.add_pipe("textcat", config=config) > ``` @@ -280,7 +278,6 @@ Score a batch of examples. | ---------------- | -------------------------------------------------------------------------------------------------------------------- | | `examples` | The examples to score. ~~Iterable[Example]~~ | | _keyword-only_ | | -| `positive_label` | Optional positive label. ~~Optional[str]~~ | | **RETURNS** | The scores, produced by [`Scorer.score_cats`](/api/scorer#score_cats). ~~Dict[str, Union[float, Dict[str, float]]]~~ | ## TextCategorizer.create_optimizer {#create_optimizer tag="method"} diff --git a/website/docs/usage/layers-architectures.md b/website/docs/usage/layers-architectures.md index eb6f8b288..72669b5e8 100644 --- a/website/docs/usage/layers-architectures.md +++ b/website/docs/usage/layers-architectures.md @@ -152,7 +152,7 @@ depth = 2 [components.textcat.model.linear_model] @architectures = "spacy.TextCatBOW.v1" -exclusive_classes = false +exclusive_classes = true ngram_size = 1 no_output_layer = false ``` @@ -170,7 +170,7 @@ labels = [] [components.textcat.model] @architectures = "spacy.TextCatBOW.v1" -exclusive_classes = false +exclusive_classes = true ngram_size = 1 no_output_layer = false nO = null From 0041dfbc7f53c2424d18720cd767f4394ba4d7a3 Mon Sep 17 00:00:00 2001 From: Adriane Boyd Date: Wed, 6 Jan 2021 05:05:10 +0100 Subject: [PATCH 18/28] Use special matcher for exceptions with spaces (#6668) Use the special cases phrase matcher for exceptions that include space characters so that exceptions including spaces are supported. --- spacy/tests/tokenizer/test_tokenizer.py | 6 ++++++ spacy/tokenizer.pyx | 2 +- 2 files changed, 7 insertions(+), 1 deletion(-) diff --git a/spacy/tests/tokenizer/test_tokenizer.py b/spacy/tests/tokenizer/test_tokenizer.py index 82032b2da..4f5eddb95 100644 --- a/spacy/tests/tokenizer/test_tokenizer.py +++ b/spacy/tests/tokenizer/test_tokenizer.py @@ -180,3 +180,9 @@ def test_tokenizer_special_cases_idx(tokenizer): doc = tokenizer(text) assert doc[1].idx == 4 assert doc[2].idx == 7 + + +def test_tokenizer_special_cases_spaces(tokenizer): + assert [t.text for t in tokenizer("a b c")] == ["a", "b", "c"] + tokenizer.add_special_case("a b c", [{"ORTH": "a b c"}]) + assert [t.text for t in tokenizer("a b c")] == ["a b c"] diff --git a/spacy/tokenizer.pyx b/spacy/tokenizer.pyx index e22e0094b..d54c3521d 100644 --- a/spacy/tokenizer.pyx +++ b/spacy/tokenizer.pyx @@ -611,7 +611,7 @@ cdef class Tokenizer: self.mem.free(stale_special) self._rules[string] = substrings self._flush_cache() - if self.find_prefix(string) or self.find_infix(string) or self.find_suffix(string): + if self.find_prefix(string) or self.find_infix(string) or self.find_suffix(string) or " " in string: self._special_matcher.add(string, None, self._tokenize_affixes(string, False)) def _reload_special_cases(self): From bf9096437e718cd874b9271e09cc7a26c12a26a1 Mon Sep 17 00:00:00 2001 From: Adriane Boyd Date: Wed, 6 Jan 2021 05:29:44 +0100 Subject: [PATCH 19/28] Set default lemmas in retokenizer (#6667) Instead of unsetting lemmas on retokenized tokens, set the default lemmas to: * merge: concatenate any existing lemmas with `SPACY` preserved * split: use the new `ORTH` values if lemmas were previously set, otherwise leave unset --- spacy/tests/doc/test_retokenize_merge.py | 12 ++++++++-- spacy/tests/doc/test_retokenize_split.py | 30 ++++++++++++++++++++++++ spacy/tokens/_retokenize.pyx | 13 ++++++++-- 3 files changed, 51 insertions(+), 4 deletions(-) diff --git a/spacy/tests/doc/test_retokenize_merge.py b/spacy/tests/doc/test_retokenize_merge.py index 14e4bc44b..60cc66d66 100644 --- a/spacy/tests/doc/test_retokenize_merge.py +++ b/spacy/tests/doc/test_retokenize_merge.py @@ -21,11 +21,13 @@ def test_doc_retokenize_merge(en_tokenizer): assert doc[4].text == "the beach boys" assert doc[4].text_with_ws == "the beach boys " assert doc[4].tag_ == "NAMED" + assert doc[4].lemma_ == "LEMMA" assert str(doc[4].morph) == "Number=Plur" assert doc[5].text == "all night" assert doc[5].text_with_ws == "all night" assert doc[5].tag_ == "NAMED" assert str(doc[5].morph) == "Number=Plur" + assert doc[5].lemma_ == "LEMMA" def test_doc_retokenize_merge_children(en_tokenizer): @@ -103,25 +105,29 @@ def test_doc_retokenize_spans_merge_tokens(en_tokenizer): def test_doc_retokenize_spans_merge_tokens_default_attrs(en_vocab): words = ["The", "players", "start", "."] + lemmas = [t.lower() for t in words] heads = [1, 2, 2, 2] tags = ["DT", "NN", "VBZ", "."] pos = ["DET", "NOUN", "VERB", "PUNCT"] - doc = Doc(en_vocab, words=words, tags=tags, pos=pos, heads=heads) + doc = Doc(en_vocab, words=words, tags=tags, pos=pos, heads=heads, lemmas=lemmas) assert len(doc) == 4 assert doc[0].text == "The" assert doc[0].tag_ == "DT" assert doc[0].pos_ == "DET" + assert doc[0].lemma_ == "the" with doc.retokenize() as retokenizer: retokenizer.merge(doc[0:2]) assert len(doc) == 3 assert doc[0].text == "The players" assert doc[0].tag_ == "NN" assert doc[0].pos_ == "NOUN" - doc = Doc(en_vocab, words=words, tags=tags, pos=pos, heads=heads) + assert doc[0].lemma_ == "the players" + doc = Doc(en_vocab, words=words, tags=tags, pos=pos, heads=heads, lemmas=lemmas) assert len(doc) == 4 assert doc[0].text == "The" assert doc[0].tag_ == "DT" assert doc[0].pos_ == "DET" + assert doc[0].lemma_ == "the" with doc.retokenize() as retokenizer: retokenizer.merge(doc[0:2]) retokenizer.merge(doc[2:4]) @@ -129,9 +135,11 @@ def test_doc_retokenize_spans_merge_tokens_default_attrs(en_vocab): assert doc[0].text == "The players" assert doc[0].tag_ == "NN" assert doc[0].pos_ == "NOUN" + assert doc[0].lemma_ == "the players" assert doc[1].text == "start ." assert doc[1].tag_ == "VBZ" assert doc[1].pos_ == "VERB" + assert doc[1].lemma_ == "start ." def test_doc_retokenize_spans_merge_heads(en_vocab): diff --git a/spacy/tests/doc/test_retokenize_split.py b/spacy/tests/doc/test_retokenize_split.py index 30f945165..21c3ffd4b 100644 --- a/spacy/tests/doc/test_retokenize_split.py +++ b/spacy/tests/doc/test_retokenize_split.py @@ -39,6 +39,36 @@ def test_doc_retokenize_split(en_vocab): assert len(str(doc)) == 19 +def test_doc_retokenize_split_lemmas(en_vocab): + # If lemmas are not set, leave unset + words = ["LosAngeles", "start", "."] + heads = [1, 2, 2] + doc = Doc(en_vocab, words=words, heads=heads) + with doc.retokenize() as retokenizer: + retokenizer.split( + doc[0], + ["Los", "Angeles"], + [(doc[0], 1), doc[1]], + ) + assert doc[0].lemma_ == "" + assert doc[1].lemma_ == "" + + # If lemmas are set, use split orth as default lemma + words = ["LosAngeles", "start", "."] + heads = [1, 2, 2] + doc = Doc(en_vocab, words=words, heads=heads) + for t in doc: + t.lemma_ = "a" + with doc.retokenize() as retokenizer: + retokenizer.split( + doc[0], + ["Los", "Angeles"], + [(doc[0], 1), doc[1]], + ) + assert doc[0].lemma_ == "Los" + assert doc[1].lemma_ == "Angeles" + + def test_doc_retokenize_split_dependencies(en_vocab): doc = Doc(en_vocab, words=["LosAngeles", "start", "."]) dep1 = doc.vocab.strings.add("amod") diff --git a/spacy/tokens/_retokenize.pyx b/spacy/tokens/_retokenize.pyx index 0069e36bf..ed8c4323e 100644 --- a/spacy/tokens/_retokenize.pyx +++ b/spacy/tokens/_retokenize.pyx @@ -188,8 +188,15 @@ def _merge(Doc doc, merges): and doc.c[start - 1].ent_type == token.ent_type: merged_iob = 1 token.ent_iob = merged_iob + # Set lemma to concatenated lemmas + merged_lemma = "" + for span_token in span: + merged_lemma += span_token.lemma_ + if doc.c[span_token.i].spacy: + merged_lemma += " " + merged_lemma = merged_lemma.strip() + token.lemma = doc.vocab.strings.add(merged_lemma) # Unset attributes that don't match new token - token.lemma = 0 token.norm = 0 tokens[merge_index] = token # Resize the doc.tensor, if it's set. Let the last row for each token stand @@ -335,7 +342,9 @@ def _split(Doc doc, int token_index, orths, heads, attrs): token = &doc.c[token_index + i] lex = doc.vocab.get(doc.mem, orth) token.lex = lex - token.lemma = 0 # reset lemma + # If lemma is currently set, set default lemma to orth + if token.lemma != 0: + token.lemma = lex.orth token.norm = 0 # reset norm if to_process_tensor: # setting the tensors of the split tokens to array of zeros From 82ae95267aa149e689b12a30799b28093d6a5d3b Mon Sep 17 00:00:00 2001 From: Sofie Van Landeghem Date: Wed, 6 Jan 2021 06:12:30 +0100 Subject: [PATCH 20/28] Docs for pretrain architectures (#6605) * document pretraining architectures * formatting * bit more info * small fixes --- website/docs/api/architectures.md | 66 +++++++++++++++++++ website/docs/usage/embeddings-transformers.md | 35 +++++----- 2 files changed, 86 insertions(+), 15 deletions(-) diff --git a/website/docs/api/architectures.md b/website/docs/api/architectures.md index 32175cb79..1ab10f410 100644 --- a/website/docs/api/architectures.md +++ b/website/docs/api/architectures.md @@ -5,6 +5,7 @@ source: spacy/ml/models menu: - ['Tok2Vec', 'tok2vec-arch'] - ['Transformers', 'transformers'] + - ['Pretraining', 'pretrain'] - ['Parser & NER', 'parser'] - ['Tagging', 'tagger'] - ['Text Classification', 'textcat'] @@ -426,6 +427,71 @@ one component. | `grad_factor` | Reweight gradients from the component before passing them upstream. You can set this to `0` to "freeze" the transformer weights with respect to the component, or use it to make some components more significant than others. Leaving it at `1.0` is usually fine. ~~float~~ | | **CREATES** | The model using the architecture. ~~Model[List[Doc], List[Floats2d]]~~ | +## Pretraining architectures {#pretrain source="spacy/ml/models/multi_task.py"} + +The spacy `pretrain` command lets you initialize a `Tok2Vec` layer in your +pipeline with information from raw text. To this end, additional layers are +added to build a network for a temporary task that forces the `Tok2Vec` layer to +learn something about sentence structure and word cooccurrence statistics. Two +pretraining objectives are available, both of which are variants of the cloze +task [Devlin et al. (2018)](https://arxiv.org/abs/1810.04805) introduced for +BERT. + +For more information, see the section on +[pretraining](/usage/embeddings-transformers#pretraining). + +### spacy.PretrainVectors.v1 {#pretrain_vectors} + +> #### Example config +> +> ```ini +> [pretraining] +> component = "tok2vec" +> ... +> +> [pretraining.objective] +> @architectures = "spacy.PretrainVectors.v1" +> maxout_pieces = 3 +> hidden_size = 300 +> loss = "cosine" +> ``` + +Predict the word's vector from a static embeddings table as pretraining +objective for a Tok2Vec layer. + +| Name | Description | +| --------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `maxout_pieces` | The number of maxout pieces to use. Recommended values are `2` or `3`. ~~int~~ | +| `hidden_size` | Size of the hidden layer of the model. ~~int~~ | +| `loss` | The loss function can be either "cosine" or "L2". We typically recommend to use "cosine". ~~~str~~ | +| **CREATES** | A callable function that can create the Model, given the `vocab` of the pipeline and the `tok2vec` layer to pretrain. ~~Callable[[Vocab, Model], Model]~~ | + +### spacy.PretrainCharacters.v1 {#pretrain_chars} + +> #### Example config +> +> ```ini +> [pretraining] +> component = "tok2vec" +> ... +> +> [pretraining.objective] +> @architectures = "spacy.PretrainCharacters.v1" +> maxout_pieces = 3 +> hidden_size = 300 +> n_characters = 4 +> ``` + +Predict some number of leading and trailing UTF-8 bytes as pretraining objective +for a Tok2Vec layer. + +| Name | Description | +| --------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `maxout_pieces` | The number of maxout pieces to use. Recommended values are `2` or `3`. ~~int~~ | +| `hidden_size` | Size of the hidden layer of the model. ~~int~~ | +| `n_characters` | The window of characters - e.g. if `n_characters = 2`, the model will try to predict the first two and last two characters of the word. ~~int~~ | +| **CREATES** | A callable function that can create the Model, given the `vocab` of the pipeline and the `tok2vec` layer to pretrain. ~~Callable[[Vocab, Model], Model]~~ | + ## Parser & NER architectures {#parser} ### spacy.TransitionBasedParser.v2 {#TransitionBasedParser source="spacy/ml/models/parser.py"} diff --git a/website/docs/usage/embeddings-transformers.md b/website/docs/usage/embeddings-transformers.md index 1673eef5e..a7318e4ef 100644 --- a/website/docs/usage/embeddings-transformers.md +++ b/website/docs/usage/embeddings-transformers.md @@ -713,34 +713,39 @@ layer = "tok2vec" #### Pretraining objectives {#pretraining-details} -Two pretraining objectives are available, both of which are variants of the -cloze task [Devlin et al. (2018)](https://arxiv.org/abs/1810.04805) introduced -for BERT. The objective can be defined and configured via the -`[pretraining.objective]` config block. - > ```ini > ### Characters objective > [pretraining.objective] -> type = "characters" +> @architectures = "spacy.PretrainCharacters.v1" +> maxout_pieces = 3 +> hidden_size = 300 > n_characters = 4 > ``` > > ```ini > ### Vectors objective > [pretraining.objective] -> type = "vectors" +> @architectures = "spacy.PretrainVectors.v1" +> maxout_pieces = 3 +> hidden_size = 300 > loss = "cosine" > ``` -- **Characters:** The `"characters"` objective asks the model to predict some - number of leading and trailing UTF-8 bytes for the words. For instance, - setting `n_characters = 2`, the model will try to predict the first two and - last two characters of the word. +Two pretraining objectives are available, both of which are variants of the +cloze task [Devlin et al. (2018)](https://arxiv.org/abs/1810.04805) introduced +for BERT. The objective can be defined and configured via the +`[pretraining.objective]` config block. -- **Vectors:** The `"vectors"` objective asks the model to predict the word's - vector, from a static embeddings table. This requires a word vectors model to - be trained and loaded. The vectors objective can optimize either a cosine or - an L2 loss. We've generally found cosine loss to perform better. +- [`PretrainCharacters`](/api/architectures#pretrain_chars): The `"characters"` + objective asks the model to predict some number of leading and trailing UTF-8 + bytes for the words. For instance, setting `n_characters = 2`, the model will + try to predict the first two and last two characters of the word. + +- [`PretrainVectors`](/api/architectures#pretrain_vectors): The `"vectors"` + objective asks the model to predict the word's vector, from a static + embeddings table. This requires a word vectors model to be trained and loaded. + The vectors objective can optimize either a cosine or an L2 loss. We've + generally found cosine loss to perform better. These pretraining objectives use a trick that we term **language modelling with approximate outputs (LMAO)**. The motivation for the trick is that predicting an From 402dbc5baecb36db1c5cbe898626b1913facf547 Mon Sep 17 00:00:00 2001 From: Sofie Van Landeghem Date: Wed, 6 Jan 2021 12:02:32 +0100 Subject: [PATCH 21/28] Getting scores out of beam_ner (#6575) * small fixes and formatting * bring test_issue4313 up-to-date, currently fails * formatting * add get_beam_parses method back * add scored_ents function * delete tag map --- .../_parser_internals/_beam_utils.pyx | 2 +- .../pipeline/_parser_internals/arc_eager.pyx | 2 +- spacy/pipeline/_parser_internals/ner.pyx | 15 ++++ spacy/pipeline/ner.pyx | 14 ++++ spacy/tests/parser/test_ner.py | 82 +++++++++++++++++++ spacy/tests/regression/test_issue4001-4500.py | 22 +++-- 6 files changed, 123 insertions(+), 14 deletions(-) diff --git a/spacy/pipeline/_parser_internals/_beam_utils.pyx b/spacy/pipeline/_parser_internals/_beam_utils.pyx index a7f34daaf..fa7df2056 100644 --- a/spacy/pipeline/_parser_internals/_beam_utils.pyx +++ b/spacy/pipeline/_parser_internals/_beam_utils.pyx @@ -255,7 +255,7 @@ def get_gradient(nr_class, beam_maps, histories, losses): for a beam state -- so we have "the gradient of loss for taking action i given history H." - Histories: Each hitory is a list of actions + Histories: Each history is a list of actions Each candidate has a history Each beam has multiple candidates Each batch has multiple beams diff --git a/spacy/pipeline/_parser_internals/arc_eager.pyx b/spacy/pipeline/_parser_internals/arc_eager.pyx index 6f63e6943..1d92efd7b 100644 --- a/spacy/pipeline/_parser_internals/arc_eager.pyx +++ b/spacy/pipeline/_parser_internals/arc_eager.pyx @@ -611,7 +611,7 @@ cdef class ArcEager(TransitionSystem): return gold def init_gold_batch(self, examples): - # TODO: Projectivitity? + # TODO: Projectivity? all_states = self.init_batch([eg.predicted for eg in examples]) golds = [] states = [] diff --git a/spacy/pipeline/_parser_internals/ner.pyx b/spacy/pipeline/_parser_internals/ner.pyx index f2bd9d134..d3e58e245 100644 --- a/spacy/pipeline/_parser_internals/ner.pyx +++ b/spacy/pipeline/_parser_internals/ner.pyx @@ -2,6 +2,7 @@ from libc.stdint cimport int32_t from cymem.cymem cimport Pool from collections import Counter +from thinc.extra.search cimport Beam from ...tokens.doc cimport Doc from ...tokens.span import Span @@ -246,6 +247,20 @@ cdef class BiluoPushDown(TransitionSystem): if doc.c[i].ent_iob == 0: doc.c[i].ent_iob = 2 + def get_beam_parses(self, Beam beam): + parses = [] + probs = beam.probs + for i in range(beam.size): + state = beam.at(i) + if state.is_final(): + prob = probs[i] + parse = [] + for j in range(state._ents.size()): + ent = state._ents.at(j) + parse.append((ent.start, ent.end, self.strings[ent.label])) + parses.append((prob, parse)) + return parses + def init_gold(self, StateClass state, Example example): return BiluoGold(self, state, example) diff --git a/spacy/pipeline/ner.pyx b/spacy/pipeline/ner.pyx index e89f5b3dd..0dfb055d3 100644 --- a/spacy/pipeline/ner.pyx +++ b/spacy/pipeline/ner.pyx @@ -1,4 +1,5 @@ # cython: infer_types=True, profile=True, binding=True +from collections import defaultdict from typing import Optional, Iterable from thinc.api import Model, Config @@ -197,3 +198,16 @@ cdef class EntityRecognizer(Parser): """ validate_examples(examples, "EntityRecognizer.score") return get_ner_prf(examples) + + def scored_ents(self, beams): + """Return a dictionary of (start, end, label) tuples with corresponding scores + for each beam/doc that was processed. + """ + entity_scores = [] + for beam in beams: + score_dict = defaultdict(float) + for score, ents in self.moves.get_beam_parses(beam): + for start, end, label in ents: + score_dict[(start, end, label)] += score + entity_scores.append(score_dict) + return entity_scores diff --git a/spacy/tests/parser/test_ner.py b/spacy/tests/parser/test_ner.py index 8b771cafa..fec69bf66 100644 --- a/spacy/tests/parser/test_ner.py +++ b/spacy/tests/parser/test_ner.py @@ -1,3 +1,5 @@ +from collections import defaultdict + import pytest from numpy.testing import assert_equal from spacy.attrs import ENT_IOB @@ -359,6 +361,86 @@ def test_overfitting_IO(use_upper): assert_equal(batch_deps_1, no_batch_deps) +def test_beam_ner_scores(): + # Test that we can get confidence values out of the beam_ner pipe + beam_width = 16 + beam_density = 0.0001 + nlp = English() + config = { + "beam_width": beam_width, + "beam_density": beam_density, + } + ner = nlp.add_pipe("beam_ner", config=config) + train_examples = [] + for text, annotations in TRAIN_DATA: + train_examples.append(Example.from_dict(nlp.make_doc(text), annotations)) + for ent in annotations.get("entities"): + ner.add_label(ent[2]) + optimizer = nlp.initialize() + + # update once + losses = {} + nlp.update(train_examples, sgd=optimizer, losses=losses) + + # test the scores from the beam + test_text = "I like London." + doc = nlp.make_doc(test_text) + docs = [doc] + ner = nlp.get_pipe("beam_ner") + beams = ner.predict(docs) + entity_scores = ner.scored_ents(beams)[0] + + for j in range(len(doc)): + for label in ner.labels: + score = entity_scores[(j, j+1, label)] + eps = 0.00001 + assert 0 - eps <= score <= 1 + eps + + +def test_beam_overfitting_IO(): + # Simple test to try and quickly overfit the Beam NER component + nlp = English() + beam_width = 16 + beam_density = 0.0001 + config = { + "beam_width": beam_width, + "beam_density": beam_density, + } + ner = nlp.add_pipe("beam_ner", config=config) + train_examples = [] + for text, annotations in TRAIN_DATA: + train_examples.append(Example.from_dict(nlp.make_doc(text), annotations)) + for ent in annotations.get("entities"): + ner.add_label(ent[2]) + optimizer = nlp.initialize() + + # run overfitting + for i in range(50): + losses = {} + nlp.update(train_examples, sgd=optimizer, losses=losses) + assert losses["beam_ner"] < 0.0001 + + # test the scores from the beam + test_text = "I like London." + docs = [nlp.make_doc(test_text)] + ner = nlp.get_pipe("beam_ner") + beams = ner.predict(docs) + entity_scores = ner.scored_ents(beams)[0] + assert entity_scores[(2, 3, "LOC")] == 1.0 + assert entity_scores[(2, 3, "PERSON")] == 0.0 + + # Also test the results are still the same after IO + with make_tempdir() as tmp_dir: + nlp.to_disk(tmp_dir) + nlp2 = util.load_model_from_path(tmp_dir) + docs2 = [nlp2(test_text)] + ner2 = nlp2.get_pipe("beam_ner") + beams2 = ner2.predict(docs2) + entity_scores2 = ner2.scored_ents(beams2)[0] + assert entity_scores2[(2, 3, "LOC")] == 1.0 + assert entity_scores2[(2, 3, "PERSON")] == 0.0 + + def test_ner_warns_no_lookups(caplog): nlp = English() assert nlp.lang in util.LEXEME_NORM_LANGS diff --git a/spacy/tests/regression/test_issue4001-4500.py b/spacy/tests/regression/test_issue4001-4500.py index 873ef9c1d..521fa0d73 100644 --- a/spacy/tests/regression/test_issue4001-4500.py +++ b/spacy/tests/regression/test_issue4001-4500.py @@ -288,35 +288,33 @@ def test_multiple_predictions(): dummy_pipe(doc) -@pytest.mark.skip(reason="removed Beam stuff during the Example/GoldParse refactor") def test_issue4313(): """ This should not crash or exit with some strange error code """ beam_width = 16 beam_density = 0.0001 nlp = English() - config = {} - ner = nlp.create_pipe("ner", config=config) + config = { + "beam_width": beam_width, + "beam_density": beam_density, + } + ner = nlp.add_pipe("beam_ner", config=config) ner.add_label("SOME_LABEL") - ner.initialize(lambda: []) + nlp.initialize() # add a new label to the doc doc = nlp("What do you think about Apple ?") assert len(ner.labels) == 1 assert "SOME_LABEL" in ner.labels + ner.add_label("MY_ORG") # TODO: not sure if we want this to be necessary... apple_ent = Span(doc, 5, 6, label="MY_ORG") doc.ents = list(doc.ents) + [apple_ent] # ensure the beam_parse still works with the new label docs = [doc] - beams = nlp.entity.beam_parse( - docs, beam_width=beam_width, beam_density=beam_density + ner = nlp.get_pipe("beam_ner") + beams = ner.beam_parse( + docs, drop=0.0, beam_width=beam_width, beam_density=beam_density ) - for doc, beam in zip(docs, beams): - entity_scores = defaultdict(float) - for score, ents in nlp.entity.moves.get_beam_parses(beam): - for start, end, label in ents: - entity_scores[(start, end, label)] += score - def test_issue4348(): """Test that training the tagger with empty data, doesn't throw errors""" From 3983bc6b1e8355eb0fa17e7787e94074c1eb4a63 Mon Sep 17 00:00:00 2001 From: Sofie Van Landeghem Date: Wed, 6 Jan 2021 12:44:04 +0100 Subject: [PATCH 22/28] Fix Transformer width in TextCatEnsemble (#6431) * add convenience method to determine tok2vec width in a model * fix transformer tok2vec dimensions in TextCatEnsemble architecture * init function should not be nested to avoid pickle issues --- spacy/ml/models/textcat.py | 36 +++++++++++++++++++++++++++--------- spacy/ml/models/tok2vec.py | 11 +++++++++++ 2 files changed, 38 insertions(+), 9 deletions(-) diff --git a/spacy/ml/models/textcat.py b/spacy/ml/models/textcat.py index 63dcb165a..8c7316f62 100644 --- a/spacy/ml/models/textcat.py +++ b/spacy/ml/models/textcat.py @@ -6,6 +6,7 @@ from thinc.api import chain, concatenate, clone, Dropout, ParametricAttention from thinc.api import SparseLinear, Softmax, softmax_activation, Maxout, reduce_sum from thinc.api import HashEmbed, with_array, with_cpu, uniqued from thinc.api import Relu, residual, expand_window +from thinc.layers.chain import init as init_chain from ...attrs import ID, ORTH, PREFIX, SUFFIX, SHAPE, LOWER from ...util import registry @@ -13,6 +14,7 @@ from ..extract_ngrams import extract_ngrams from ..staticvectors import StaticVectors from ..featureextractor import FeatureExtractor from ...tokens import Doc +from .tok2vec import get_tok2vec_width @registry.architectures.register("spacy.TextCatCNN.v1") @@ -69,16 +71,17 @@ def build_text_classifier_v2( exclusive_classes = not linear_model.attrs["multi_label"] with Model.define_operators({">>": chain, "|": concatenate}): width = tok2vec.maybe_get_dim("nO") + attention_layer = ParametricAttention(width) # TODO: benchmark performance difference of this layer + maxout_layer = Maxout(nO=width, nI=width) + linear_layer = Linear(nO=nO, nI=width) cnn_model = ( - tok2vec - >> list2ragged() - >> ParametricAttention( - width - ) # TODO: benchmark performance difference of this layer - >> reduce_sum() - >> residual(Maxout(nO=width, nI=width)) - >> Linear(nO=nO, nI=width) - >> Dropout(0.0) + tok2vec + >> list2ragged() + >> attention_layer + >> reduce_sum() + >> residual(maxout_layer) + >> linear_layer + >> Dropout(0.0) ) nO_double = nO * 2 if nO else None @@ -91,7 +94,22 @@ def build_text_classifier_v2( if model.has_dim("nO") is not False: model.set_dim("nO", nO) model.set_ref("output_layer", linear_model.get_ref("output_layer")) + model.set_ref("attention_layer", attention_layer) + model.set_ref("maxout_layer", maxout_layer) + model.set_ref("linear_layer", linear_layer) model.attrs["multi_label"] = not exclusive_classes + + model.init = init_ensemble_textcat + return model + + +def init_ensemble_textcat(model, X, Y) -> Model: + tok2vec_width = get_tok2vec_width(model) + model.get_ref("attention_layer").set_dim("nO", tok2vec_width) + model.get_ref("maxout_layer").set_dim("nO", tok2vec_width) + model.get_ref("maxout_layer").set_dim("nI", tok2vec_width) + model.get_ref("linear_layer").set_dim("nI", tok2vec_width) + init_chain(model, X, Y) return model diff --git a/spacy/ml/models/tok2vec.py b/spacy/ml/models/tok2vec.py index 8755d0d0d..0f727d85f 100644 --- a/spacy/ml/models/tok2vec.py +++ b/spacy/ml/models/tok2vec.py @@ -20,6 +20,17 @@ def tok2vec_listener_v1(width: int, upstream: str = "*"): return tok2vec +def get_tok2vec_width(model: Model): + nO = None + if model.has_ref("tok2vec"): + tok2vec = model.get_ref("tok2vec") + if tok2vec.has_dim("nO"): + nO = tok2vec.get_dim("nO") + elif tok2vec.has_ref("listener"): + nO = tok2vec.get_ref("listener").get_dim("nO") + return nO + + @registry.architectures.register("spacy.HashEmbedCNN.v1") def build_hash_embed_cnn_tok2vec( *, From 8c1a23209fad53821e3244244da0038fc004fbf0 Mon Sep 17 00:00:00 2001 From: Sofie Van Landeghem Date: Thu, 7 Jan 2021 06:28:27 +0100 Subject: [PATCH 23/28] Getting scores out of beam_parser (#6684) * clean up of ner tests * beam_parser tests * implement get_beam_parses and scored_parses for the dep parser * we don't have to add the parse if there are no arcs --- .../pipeline/_parser_internals/arc_eager.pxd | 2 +- .../pipeline/_parser_internals/arc_eager.pyx | 27 ++- spacy/pipeline/_parser_internals/ner.pyx | 3 +- spacy/pipeline/dep_parser.pyx | 18 ++ spacy/tests/parser/test_ner.py | 8 +- spacy/tests/parser/test_parse.py | 158 +++++++++++++++++- 6 files changed, 201 insertions(+), 15 deletions(-) diff --git a/spacy/pipeline/_parser_internals/arc_eager.pxd b/spacy/pipeline/_parser_internals/arc_eager.pxd index 3732dd1b7..b618bc587 100644 --- a/spacy/pipeline/_parser_internals/arc_eager.pxd +++ b/spacy/pipeline/_parser_internals/arc_eager.pxd @@ -4,4 +4,4 @@ from .transition_system cimport Transition, TransitionSystem cdef class ArcEager(TransitionSystem): - pass + cdef get_arcs(self, StateC* state) diff --git a/spacy/pipeline/_parser_internals/arc_eager.pyx b/spacy/pipeline/_parser_internals/arc_eager.pyx index 1d92efd7b..90a70b17b 100644 --- a/spacy/pipeline/_parser_internals/arc_eager.pyx +++ b/spacy/pipeline/_parser_internals/arc_eager.pyx @@ -1,6 +1,7 @@ # cython: profile=True, cdivision=True, infer_types=True from cymem.cymem cimport Pool, Address from libc.stdint cimport int32_t +from libcpp.vector cimport vector from collections import defaultdict, Counter @@ -10,9 +11,9 @@ from ...structs cimport TokenC from ...tokens.doc cimport Doc, set_children_from_heads from ...training.example cimport Example from .stateclass cimport StateClass -from ._state cimport StateC - +from ._state cimport StateC, ArcC from ...errors import Errors +from thinc.extra.search cimport Beam cdef weight_t MIN_SCORE = -90000 cdef attr_t SUBTOK_LABEL = hash_string(u'subtok') @@ -707,6 +708,28 @@ cdef class ArcEager(TransitionSystem): doc.c[i].dep = self.root_label set_children_from_heads(doc.c, 0, doc.length) + def get_beam_parses(self, Beam beam): + parses = [] + probs = beam.probs + for i in range(beam.size): + state = beam.at(i) + if state.is_final(): + prob = probs[i] + parse = [] + arcs = self.get_arcs(state) + if arcs: + for arc in arcs: + dep = arc["label"] + label = self.strings[dep] + parse.append((arc["head"], arc["child"], label)) + parses.append((prob, parse)) + return parses + + cdef get_arcs(self, StateC* state): + cdef vector[ArcC] arcs + state.get_arcs(&arcs) + return list(arcs) + def has_gold(self, Example eg, start=0, end=None): for word in eg.y[start:end]: if word.dep != 0: diff --git a/spacy/pipeline/_parser_internals/ner.pyx b/spacy/pipeline/_parser_internals/ner.pyx index d3e58e245..d0da6ff70 100644 --- a/spacy/pipeline/_parser_internals/ner.pyx +++ b/spacy/pipeline/_parser_internals/ner.pyx @@ -257,7 +257,8 @@ cdef class BiluoPushDown(TransitionSystem): parse = [] for j in range(state._ents.size()): ent = state._ents.at(j) - parse.append((ent.start, ent.end, self.strings[ent.label])) + if ent.start != -1 and ent.end != -1: + parse.append((ent.start, ent.end, self.strings[ent.label])) parses.append((prob, parse)) return parses diff --git a/spacy/pipeline/dep_parser.pyx b/spacy/pipeline/dep_parser.pyx index 3399ef677..1fe29eb9b 100644 --- a/spacy/pipeline/dep_parser.pyx +++ b/spacy/pipeline/dep_parser.pyx @@ -1,4 +1,5 @@ # cython: infer_types=True, profile=True, binding=True +from collections import defaultdict from typing import Optional, Iterable from thinc.api import Model, Config @@ -258,3 +259,20 @@ cdef class DependencyParser(Parser): results.update(Scorer.score_deps(examples, "dep", **kwargs)) del results["sents_per_type"] return results + + def scored_parses(self, beams): + """Return two dictionaries with scores for each beam/doc that was processed: + one containing (i, head) keys, and another containing (i, label) keys. + """ + head_scores = [] + label_scores = [] + for beam in beams: + score_head_dict = defaultdict(float) + score_label_dict = defaultdict(float) + for score, parses in self.moves.get_beam_parses(beam): + for head, i, label in parses: + score_head_dict[(i, head)] += score + score_label_dict[(i, label)] += score + head_scores.append(score_head_dict) + label_scores.append(score_label_dict) + return head_scores, label_scores diff --git a/spacy/tests/parser/test_ner.py b/spacy/tests/parser/test_ner.py index fec69bf66..d110eb11c 100644 --- a/spacy/tests/parser/test_ner.py +++ b/spacy/tests/parser/test_ner.py @@ -1,5 +1,3 @@ -from collections import defaultdict - import pytest from numpy.testing import assert_equal from spacy.attrs import ENT_IOB @@ -305,7 +303,7 @@ def test_block_ner(): @pytest.mark.parametrize("use_upper", [True, False]) def test_overfitting_IO(use_upper): - # Simple test to try and quickly overfit the NER component - ensuring the ML models work correctly + # Simple test to try and quickly overfit the NER component nlp = English() ner = nlp.add_pipe("ner", config={"model": {"use_upper": use_upper}}) train_examples = [] @@ -386,7 +384,6 @@ def test_beam_ner_scores(): test_text = "I like London." doc = nlp.make_doc(test_text) docs = [doc] - ner = nlp.get_pipe("beam_ner") beams = ner.predict(docs) entity_scores = ner.scored_ents(beams)[0] @@ -423,7 +420,6 @@ def test_beam_overfitting_IO(): # test the scores from the beam test_text = "I like London." docs = [nlp.make_doc(test_text)] - ner = nlp.get_pipe("beam_ner") beams = ner.predict(docs) entity_scores = ner.scored_ents(beams)[0] assert entity_scores[(2, 3, "LOC")] == 1.0 @@ -433,7 +429,7 @@ def test_beam_overfitting_IO(): with make_tempdir() as tmp_dir: nlp.to_disk(tmp_dir) nlp2 = util.load_model_from_path(tmp_dir) - docs2 = [nlp2(test_text)] + docs2 = [nlp2.make_doc(test_text)] ner2 = nlp2.get_pipe("beam_ner") beams2 = ner2.predict(docs2) entity_scores2 = ner2.scored_ents(beams2)[0] diff --git a/spacy/tests/parser/test_parse.py b/spacy/tests/parser/test_parse.py index a914eb17a..e7728baaf 100644 --- a/spacy/tests/parser/test_parse.py +++ b/spacy/tests/parser/test_parse.py @@ -28,6 +28,26 @@ TRAIN_DATA = [ ] +CONFLICTING_DATA = [ + ( + "I like London and Berlin.", + { + "heads": [1, 1, 1, 2, 2, 1], + "deps": ["nsubj", "ROOT", "dobj", "cc", "conj", "punct"], + }, + ), + ( + "I like London and Berlin.", + { + "heads": [0, 0, 0, 0, 0, 0], + "deps": ["ROOT", "nsubj", "nsubj", "cc", "conj", "punct"], + }, + ), +] + +eps = 0.01 + + def test_parser_root(en_vocab): words = ["i", "do", "n't", "have", "other", "assistance"] heads = [3, 3, 3, 3, 5, 3] @@ -185,26 +205,31 @@ def test_parser_set_sent_starts(en_vocab): assert token.head in sent -def test_overfitting_IO(): - # Simple test to try and quickly overfit the dependency parser - ensuring the ML models work correctly +@pytest.mark.parametrize("pipe_name", ["parser", "beam_parser"]) +def test_overfitting_IO(pipe_name): + # Simple test to try and quickly overfit the dependency parser (normal or beam) nlp = English() - parser = nlp.add_pipe("parser") + parser = nlp.add_pipe(pipe_name) train_examples = [] for text, annotations in TRAIN_DATA: train_examples.append(Example.from_dict(nlp.make_doc(text), annotations)) for dep in annotations.get("deps", []): parser.add_label(dep) optimizer = nlp.initialize() - for i in range(100): + # run overfitting + for i in range(150): losses = {} nlp.update(train_examples, sgd=optimizer, losses=losses) - assert losses["parser"] < 0.0001 + assert losses[pipe_name] < 0.0001 # test the trained model test_text = "I like securities." doc = nlp(test_text) assert doc[0].dep_ == "nsubj" assert doc[2].dep_ == "dobj" assert doc[3].dep_ == "punct" + assert doc[0].head.i == 1 + assert doc[2].head.i == 1 + assert doc[3].head.i == 1 # Also test the results are still the same after IO with make_tempdir() as tmp_dir: nlp.to_disk(tmp_dir) @@ -213,6 +238,9 @@ def test_overfitting_IO(): assert doc2[0].dep_ == "nsubj" assert doc2[2].dep_ == "dobj" assert doc2[3].dep_ == "punct" + assert doc2[0].head.i == 1 + assert doc2[2].head.i == 1 + assert doc2[3].head.i == 1 # Make sure that running pipe twice, or comparing to call, always amounts to the same predictions texts = [ @@ -226,3 +254,123 @@ def test_overfitting_IO(): no_batch_deps = [doc.to_array([DEP]) for doc in [nlp(text) for text in texts]] assert_equal(batch_deps_1, batch_deps_2) assert_equal(batch_deps_1, no_batch_deps) + + +def test_beam_parser_scores(): + # Test that we can get confidence values out of the beam_parser pipe + beam_width = 16 + beam_density = 0.0001 + nlp = English() + config = { + "beam_width": beam_width, + "beam_density": beam_density, + } + parser = nlp.add_pipe("beam_parser", config=config) + train_examples = [] + for text, annotations in CONFLICTING_DATA: + train_examples.append(Example.from_dict(nlp.make_doc(text), annotations)) + for dep in annotations.get("deps", []): + parser.add_label(dep) + optimizer = nlp.initialize() + + # update a bit with conflicting data + for i in range(10): + losses = {} + nlp.update(train_examples, sgd=optimizer, losses=losses) + + # test the scores from the beam + test_text = "I like securities." + doc = nlp.make_doc(test_text) + docs = [doc] + beams = parser.predict(docs) + head_scores, label_scores = parser.scored_parses(beams) + + for j in range(len(doc)): + for label in parser.labels: + label_score = label_scores[0][(j, label)] + assert 0 - eps <= label_score <= 1 + eps + for i in range(len(doc)): + head_score = head_scores[0][(j, i)] + assert 0 - eps <= head_score <= 1 + eps + + +def test_beam_overfitting_IO(): + # Simple test to try and quickly overfit the Beam dependency parser + nlp = English() + beam_width = 16 + beam_density = 0.0001 + config = { + "beam_width": beam_width, + "beam_density": beam_density, + } + parser = nlp.add_pipe("beam_parser", config=config) + train_examples = [] + for text, annotations in TRAIN_DATA: + train_examples.append(Example.from_dict(nlp.make_doc(text), annotations)) + for dep in annotations.get("deps", []): + parser.add_label(dep) + optimizer = nlp.initialize() + # run overfitting + for i in range(150): + losses = {} + nlp.update(train_examples, sgd=optimizer, losses=losses) + assert losses["beam_parser"] < 0.0001 + # test the scores from the beam + test_text = "I like securities." + docs = [nlp.make_doc(test_text)] + beams = parser.predict(docs) + head_scores, label_scores = parser.scored_parses(beams) + # we only processed one document + head_scores = head_scores[0] + label_scores = label_scores[0] + # test label annotations: 0=nsubj, 2=dobj, 3=punct + assert label_scores[(0, "nsubj")] == pytest.approx(1.0, eps) + assert label_scores[(0, "dobj")] == pytest.approx(0.0, eps) + assert label_scores[(0, "punct")] == pytest.approx(0.0, eps) + assert label_scores[(2, "nsubj")] == pytest.approx(0.0, eps) + assert label_scores[(2, "dobj")] == pytest.approx(1.0, eps) + assert label_scores[(2, "punct")] == pytest.approx(0.0, eps) + assert label_scores[(3, "nsubj")] == pytest.approx(0.0, eps) + assert label_scores[(3, "dobj")] == pytest.approx(0.0, eps) + assert label_scores[(3, "punct")] == pytest.approx(1.0, eps) + # test head annotations: the root is token at index 1 + assert head_scores[(0, 0)] == pytest.approx(0.0, eps) + assert head_scores[(0, 1)] == pytest.approx(1.0, eps) + assert head_scores[(0, 2)] == pytest.approx(0.0, eps) + assert head_scores[(2, 0)] == pytest.approx(0.0, eps) + assert head_scores[(2, 1)] == pytest.approx(1.0, eps) + assert head_scores[(2, 2)] == pytest.approx(0.0, eps) + assert head_scores[(3, 0)] == pytest.approx(0.0, eps) + assert head_scores[(3, 1)] == pytest.approx(1.0, eps) + assert head_scores[(3, 2)] == pytest.approx(0.0, eps) + + # Also test the results are still the same after IO + with make_tempdir() as tmp_dir: + nlp.to_disk(tmp_dir) + nlp2 = util.load_model_from_path(tmp_dir) + docs2 = [nlp2.make_doc(test_text)] + parser2 = nlp2.get_pipe("beam_parser") + beams2 = parser2.predict(docs2) + head_scores2, label_scores2 = parser2.scored_parses(beams2) + # we only processed one document + head_scores2 = head_scores2[0] + label_scores2 = label_scores2[0] + # check the results again + assert label_scores2[(0, "nsubj")] == pytest.approx(1.0, eps) + assert label_scores2[(0, "dobj")] == pytest.approx(0.0, eps) + assert label_scores2[(0, "punct")] == pytest.approx(0.0, eps) + assert label_scores2[(2, "nsubj")] == pytest.approx(0.0, eps) + assert label_scores2[(2, "dobj")] == pytest.approx(1.0, eps) + assert label_scores2[(2, "punct")] == pytest.approx(0.0, eps) + assert label_scores2[(3, "nsubj")] == pytest.approx(0.0, eps) + assert label_scores2[(3, "dobj")] == pytest.approx(0.0, eps) + assert label_scores2[(3, "punct")] == pytest.approx(1.0, eps) + assert head_scores2[(0, 0)] == pytest.approx(0.0, eps) + assert head_scores2[(0, 1)] == pytest.approx(1.0, eps) + assert head_scores2[(0, 2)] == pytest.approx(0.0, eps) + assert head_scores2[(2, 0)] == pytest.approx(0.0, eps) + assert head_scores2[(2, 1)] == pytest.approx(1.0, eps) + assert head_scores2[(2, 2)] == pytest.approx(0.0, eps) + assert head_scores2[(3, 0)] == pytest.approx(0.0, eps) + assert head_scores2[(3, 1)] == pytest.approx(1.0, eps) + assert head_scores2[(3, 2)] == pytest.approx(0.0, eps) From 75d90193434ce13ff22b4210bfa063f9c3096936 Mon Sep 17 00:00:00 2001 From: Sofie Van Landeghem Date: Thu, 7 Jan 2021 06:39:27 +0100 Subject: [PATCH 24/28] Fix types of Tok2Vec encoding architectures (#6442) * fix TorchBiLSTMEncoder documentation * ensure the types of the encoding Tok2vec layers are correct * update references from v1 to v2 for the new architectures --- spacy/cli/templates/quickstart_training.jinja | 4 +- spacy/ml/models/tok2vec.py | 85 ++++++++++++++++++- spacy/pipeline/morphologizer.pyx | 4 +- spacy/pipeline/textcat.py | 4 +- spacy/tests/pipeline/test_tok2vec.py | 4 +- website/docs/api/architectures.md | 34 ++++---- website/docs/usage/embeddings-transformers.md | 8 +- website/docs/usage/layers-architectures.md | 10 +-- 8 files changed, 116 insertions(+), 37 deletions(-) diff --git a/spacy/cli/templates/quickstart_training.jinja b/spacy/cli/templates/quickstart_training.jinja index 71ba5f6bc..ab1d69894 100644 --- a/spacy/cli/templates/quickstart_training.jinja +++ b/spacy/cli/templates/quickstart_training.jinja @@ -205,7 +205,7 @@ no_output_layer = false factory = "tok2vec" [components.tok2vec.model] -@architectures = "spacy.Tok2Vec.v1" +@architectures = "spacy.Tok2Vec.v2" [components.tok2vec.model.embed] @architectures = "spacy.MultiHashEmbed.v1" @@ -220,7 +220,7 @@ rows = [5000, 2500] include_static_vectors = {{ "true" if optimize == "accuracy" else "false" }} [components.tok2vec.model.encode] -@architectures = "spacy.MaxoutWindowEncoder.v1" +@architectures = "spacy.MaxoutWindowEncoder.v2" width = {{ 96 if optimize == "efficiency" else 256 }} depth = {{ 4 if optimize == "efficiency" else 8 }} window_size = 1 diff --git a/spacy/ml/models/tok2vec.py b/spacy/ml/models/tok2vec.py index 0f727d85f..2bb420004 100644 --- a/spacy/ml/models/tok2vec.py +++ b/spacy/ml/models/tok2vec.py @@ -87,6 +87,7 @@ def build_hash_embed_cnn_tok2vec( ) +# TODO: archive @registry.architectures.register("spacy.Tok2Vec.v1") def build_Tok2Vec_model( embed: Model[List[Doc], List[Floats2d]], @@ -108,6 +109,28 @@ def build_Tok2Vec_model( return tok2vec + +@registry.architectures.register("spacy.Tok2Vec.v2") +def build_Tok2Vec_model( + embed: Model[List[Doc], List[Floats2d]], + encode: Model[List[Floats2d], List[Floats2d]], +) -> Model[List[Doc], List[Floats2d]]: + """Construct a tok2vec model out of embedding and encoding subnetworks. + See https://explosion.ai/blog/deep-learning-formula-nlp + + embed (Model[List[Doc], List[Floats2d]]): Embed tokens into context-independent + word vector representations. + encode (Model[List[Floats2d], List[Floats2d]]): Encode context into the + embeddings, using an architecture such as a CNN, BiLSTM or transformer. + """ + tok2vec = chain(embed, encode) + tok2vec.set_dim("nO", encode.get_dim("nO")) + tok2vec.set_ref("embed", embed) + tok2vec.set_ref("encode", encode) + return tok2vec + + + @registry.architectures.register("spacy.MultiHashEmbed.v1") def MultiHashEmbed( width: int, @@ -255,6 +278,7 @@ def CharacterEmbed( return model +# TODO: archive @registry.architectures.register("spacy.MaxoutWindowEncoder.v1") def MaxoutWindowEncoder( width: int, window_size: int, maxout_pieces: int, depth: int @@ -286,7 +310,39 @@ def MaxoutWindowEncoder( model.attrs["receptive_field"] = window_size * depth return model +@registry.architectures.register("spacy.MaxoutWindowEncoder.v2") +def MaxoutWindowEncoder( + width: int, window_size: int, maxout_pieces: int, depth: int +) -> Model[List[Floats2d], List[Floats2d]]: + """Encode context using convolutions with maxout activation, layer + normalization and residual connections. + width (int): The input and output width. These are required to be the same, + to allow residual connections. This value will be determined by the + width of the inputs. Recommended values are between 64 and 300. + window_size (int): The number of words to concatenate around each token + to construct the convolution. Recommended value is 1. + maxout_pieces (int): The number of maxout pieces to use. Recommended + values are 2 or 3. + depth (int): The number of convolutional layers. Recommended value is 4. + """ + cnn = chain( + expand_window(window_size=window_size), + Maxout( + nO=width, + nI=width * ((window_size * 2) + 1), + nP=maxout_pieces, + dropout=0.0, + normalize=True, + ), + ) + model = clone(residual(cnn), depth) + model.set_dim("nO", width) + receptive_field = window_size * depth + return with_array(model, pad=receptive_field) + + +# TODO: archive @registry.architectures.register("spacy.MishWindowEncoder.v1") def MishWindowEncoder( width: int, window_size: int, depth: int @@ -310,6 +366,29 @@ def MishWindowEncoder( return model +@registry.architectures.register("spacy.MishWindowEncoder.v2") +def MishWindowEncoder( + width: int, window_size: int, depth: int +) -> Model[List[Floats2d], List[Floats2d]]: + """Encode context using convolutions with mish activation, layer + normalization and residual connections. + + width (int): The input and output width. These are required to be the same, + to allow residual connections. This value will be determined by the + width of the inputs. Recommended values are between 64 and 300. + window_size (int): The number of words to concatenate around each token + to construct the convolution. Recommended value is 1. + depth (int): The number of convolutional layers. Recommended value is 4. + """ + cnn = chain( + expand_window(window_size=window_size), + Mish(nO=width, nI=width * ((window_size * 2) + 1), dropout=0.0, normalize=True), + ) + model = clone(residual(cnn), depth) + model.set_dim("nO", width) + return with_array(model) + + @registry.architectures.register("spacy.TorchBiLSTMEncoder.v1") def BiLSTMEncoder( width: int, depth: int, dropout: float @@ -319,9 +398,9 @@ def BiLSTMEncoder( width (int): The input and output width. These are required to be the same, to allow residual connections. This value will be determined by the width of the inputs. Recommended values are between 64 and 300. - window_size (int): The number of words to concatenate around each token - to construct the convolution. Recommended value is 1. - depth (int): The number of convolutional layers. Recommended value is 4. + depth (int): The number of recurrent layers. + dropout (float): Creates a Dropout layer on the outputs of each LSTM layer + except the last layer. Set to 0 to disable this functionality. """ if depth == 0: return noop() diff --git a/spacy/pipeline/morphologizer.pyx b/spacy/pipeline/morphologizer.pyx index 66e0787ef..e34b2e750 100644 --- a/spacy/pipeline/morphologizer.pyx +++ b/spacy/pipeline/morphologizer.pyx @@ -24,7 +24,7 @@ default_model_config = """ @architectures = "spacy.Tagger.v1" [model.tok2vec] -@architectures = "spacy.Tok2Vec.v1" +@architectures = "spacy.Tok2Vec.v2" [model.tok2vec.embed] @architectures = "spacy.CharacterEmbed.v1" @@ -35,7 +35,7 @@ nC = 8 include_static_vectors = false [model.tok2vec.encode] -@architectures = "spacy.MaxoutWindowEncoder.v1" +@architectures = "spacy.MaxoutWindowEncoder.v2" width = 128 depth = 4 window_size = 1 diff --git a/spacy/pipeline/textcat.py b/spacy/pipeline/textcat.py index 8a5d6938e..456a8bb38 100644 --- a/spacy/pipeline/textcat.py +++ b/spacy/pipeline/textcat.py @@ -19,7 +19,7 @@ single_label_default_config = """ @architectures = "spacy.TextCatEnsemble.v2" [model.tok2vec] -@architectures = "spacy.Tok2Vec.v1" +@architectures = "spacy.Tok2Vec.v2" [model.tok2vec.embed] @architectures = "spacy.MultiHashEmbed.v1" @@ -29,7 +29,7 @@ attrs = ["ORTH", "LOWER", "PREFIX", "SUFFIX", "SHAPE", "ID"] include_static_vectors = false [model.tok2vec.encode] -@architectures = "spacy.MaxoutWindowEncoder.v1" +@architectures = "spacy.MaxoutWindowEncoder.v2" width = ${model.tok2vec.embed.width} window_size = 1 maxout_pieces = 3 diff --git a/spacy/tests/pipeline/test_tok2vec.py b/spacy/tests/pipeline/test_tok2vec.py index ec4ed17dd..90052a9c8 100644 --- a/spacy/tests/pipeline/test_tok2vec.py +++ b/spacy/tests/pipeline/test_tok2vec.py @@ -113,7 +113,7 @@ cfg_string = """ factory = "tok2vec" [components.tok2vec.model] - @architectures = "spacy.Tok2Vec.v1" + @architectures = "spacy.Tok2Vec.v2" [components.tok2vec.model.embed] @architectures = "spacy.MultiHashEmbed.v1" @@ -123,7 +123,7 @@ cfg_string = """ include_static_vectors = false [components.tok2vec.model.encode] - @architectures = "spacy.MaxoutWindowEncoder.v1" + @architectures = "spacy.MaxoutWindowEncoder.v2" width = 96 depth = 4 window_size = 1 diff --git a/website/docs/api/architectures.md b/website/docs/api/architectures.md index 1ab10f410..d8f0ce022 100644 --- a/website/docs/api/architectures.md +++ b/website/docs/api/architectures.md @@ -26,20 +26,20 @@ usage documentation on ## Tok2Vec architectures {#tok2vec-arch source="spacy/ml/models/tok2vec.py"} -### spacy.Tok2Vec.v1 {#Tok2Vec} +### spacy.Tok2Vec.v2 {#Tok2Vec} > #### Example config > > ```ini > [model] -> @architectures = "spacy.Tok2Vec.v1" +> @architectures = "spacy.Tok2Vec.v2" > > [model.embed] > @architectures = "spacy.CharacterEmbed.v1" > # ... > > [model.encode] -> @architectures = "spacy.MaxoutWindowEncoder.v1" +> @architectures = "spacy.MaxoutWindowEncoder.v2" > # ... > ``` @@ -197,13 +197,13 @@ network to construct a single vector to represent the information. | `nC` | The number of UTF-8 bytes to embed per word. Recommended values are between `3` and `8`, although it may depend on the length of words in the language. ~~int~~ | | **CREATES** | The model using the architecture. ~~Model[List[Doc], List[Floats2d]]~~ | -### spacy.MaxoutWindowEncoder.v1 {#MaxoutWindowEncoder} +### spacy.MaxoutWindowEncoder.v2 {#MaxoutWindowEncoder} > #### Example config > > ```ini > [model] -> @architectures = "spacy.MaxoutWindowEncoder.v1" +> @architectures = "spacy.MaxoutWindowEncoder.v2" > width = 128 > window_size = 1 > maxout_pieces = 3 @@ -221,13 +221,13 @@ and residual connections. | `depth` | The number of convolutional layers. Recommended value is `4`. ~~int~~ | | **CREATES** | The model using the architecture. ~~Model[List[Floats2d], List[Floats2d]]~~ | -### spacy.MishWindowEncoder.v1 {#MishWindowEncoder} +### spacy.MishWindowEncoder.v2 {#MishWindowEncoder} > #### Example config > > ```ini > [model] -> @architectures = "spacy.MishWindowEncoder.v1" +> @architectures = "spacy.MishWindowEncoder.v2" > width = 64 > window_size = 1 > depth = 4 @@ -252,19 +252,19 @@ and residual connections. > [model] > @architectures = "spacy.TorchBiLSTMEncoder.v1" > width = 64 -> window_size = 1 -> depth = 4 +> depth = 2 +> dropout = 0.0 > ``` Encode context using bidirectional LSTM layers. Requires [PyTorch](https://pytorch.org). -| Name | Description | -| ------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -| `width` | The input and output width. These are required to be the same, to allow residual connections. This value will be determined by the width of the inputs. Recommended values are between `64` and `300`. ~~int~~ | -| `window_size` | The number of words to concatenate around each token to construct the convolution. Recommended value is `1`. ~~int~~ | -| `depth` | The number of convolutional layers. Recommended value is `4`. ~~int~~ | -| **CREATES** | The model using the architecture. ~~Model[List[Floats2d], List[Floats2d]]~~ | +| Name | Description | +| ----------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `width` | The input and output width. These are required to be the same, to allow residual connections. This value will be determined by the width of the inputs. Recommended values are between `64` and `300`. ~~int~~ | +| `depth` | The number of recurrent layers, for instance `depth=2` results in stacking two LSTMs together. ~~int~~ | +| `dropout` | Creates a Dropout layer on the outputs of each LSTM layer except the last layer. Set to 0.0 to disable this functionality. ~~float~~ | +| **CREATES** | The model using the architecture. ~~Model[List[Floats2d], List[Floats2d]]~~ | ### spacy.StaticVectors.v1 {#StaticVectors} @@ -600,7 +600,7 @@ specific data and challenge. > no_output_layer = false > > [model.tok2vec] -> @architectures = "spacy.Tok2Vec.v1" +> @architectures = "spacy.Tok2Vec.v2" > > [model.tok2vec.embed] > @architectures = "spacy.MultiHashEmbed.v1" @@ -610,7 +610,7 @@ specific data and challenge. > include_static_vectors = false > > [model.tok2vec.encode] -> @architectures = "spacy.MaxoutWindowEncoder.v1" +> @architectures = "spacy.MaxoutWindowEncoder.v2" > width = ${model.tok2vec.embed.width} > window_size = 1 > maxout_pieces = 3 diff --git a/website/docs/usage/embeddings-transformers.md b/website/docs/usage/embeddings-transformers.md index a7318e4ef..7e47ac9d2 100644 --- a/website/docs/usage/embeddings-transformers.md +++ b/website/docs/usage/embeddings-transformers.md @@ -129,13 +129,13 @@ the entity recognizer, use a factory = "tok2vec" [components.tok2vec.model] -@architectures = "spacy.Tok2Vec.v1" +@architectures = "spacy.Tok2Vec.v2" [components.tok2vec.model.embed] @architectures = "spacy.MultiHashEmbed.v1" [components.tok2vec.model.encode] -@architectures = "spacy.MaxoutWindowEncoder.v1" +@architectures = "spacy.MaxoutWindowEncoder.v2" [components.ner] factory = "ner" @@ -161,13 +161,13 @@ factory = "ner" @architectures = "spacy.TransitionBasedParser.v1" [components.ner.model.tok2vec] -@architectures = "spacy.Tok2Vec.v1" +@architectures = "spacy.Tok2Vec.v2" [components.ner.model.tok2vec.embed] @architectures = "spacy.MultiHashEmbed.v1" [components.ner.model.tok2vec.encode] -@architectures = "spacy.MaxoutWindowEncoder.v1" +@architectures = "spacy.MaxoutWindowEncoder.v2" ``` diff --git a/website/docs/usage/layers-architectures.md b/website/docs/usage/layers-architectures.md index 72669b5e8..d0a2ac819 100644 --- a/website/docs/usage/layers-architectures.md +++ b/website/docs/usage/layers-architectures.md @@ -134,7 +134,7 @@ labels = [] nO = null [components.textcat.model.tok2vec] -@architectures = "spacy.Tok2Vec.v1" +@architectures = "spacy.Tok2Vec.v2" [components.textcat.model.tok2vec.embed] @architectures = "spacy.MultiHashEmbed.v1" @@ -144,7 +144,7 @@ attrs = ["ORTH", "LOWER", "PREFIX", "SUFFIX", "SHAPE", "ID"] include_static_vectors = false [components.textcat.model.tok2vec.encode] -@architectures = "spacy.MaxoutWindowEncoder.v1" +@architectures = "spacy.MaxoutWindowEncoder.v2" width = ${components.textcat.model.tok2vec.embed.width} window_size = 1 maxout_pieces = 3 @@ -201,14 +201,14 @@ tokens, and their combination forms a typical factory = "tok2vec" [components.tok2vec.model] -@architectures = "spacy.Tok2Vec.v1" +@architectures = "spacy.Tok2Vec.v2" [components.tok2vec.model.embed] @architectures = "spacy.MultiHashEmbed.v1" # ... [components.tok2vec.model.encode] -@architectures = "spacy.MaxoutWindowEncoder.v1" +@architectures = "spacy.MaxoutWindowEncoder.v2" # ... ``` @@ -224,7 +224,7 @@ architecture: # ... [components.tok2vec.model.encode] -@architectures = "spacy.MaxoutWindowEncoder.v1" +@architectures = "spacy.MaxoutWindowEncoder.v2" # ... ``` From 411c842a712f2546869ba38eaa3391786a4d6499 Mon Sep 17 00:00:00 2001 From: Yohei Tamura Date: Thu, 7 Jan 2021 14:42:12 +0900 Subject: [PATCH 25/28] convert tuple to list, because the type mismatches (#6625) --- spacy/tokens/doc.pyx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/spacy/tokens/doc.pyx b/spacy/tokens/doc.pyx index 29a8f0742..9eedf214b 100644 --- a/spacy/tokens/doc.pyx +++ b/spacy/tokens/doc.pyx @@ -1098,7 +1098,7 @@ cdef class Doc: (vocab,) = vocab if attrs is None: - attrs = Doc._get_array_attrs() + attrs = list(Doc._get_array_attrs()) else: if any(isinstance(attr, str) for attr in attrs): # resolve attribute names attrs = [intify_attr(attr) for attr in attrs] # intify_attr returns None for invalid attrs From a612a5ba3fddb6f1634ced0f2bafe3341ea50466 Mon Sep 17 00:00:00 2001 From: Sofie Van Landeghem Date: Fri, 8 Jan 2021 09:39:47 +0100 Subject: [PATCH 26/28] fix small typos (#6698) --- website/docs/usage/layers-architectures.md | 4 ++-- website/docs/usage/training.md | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/usage/layers-architectures.md b/website/docs/usage/layers-architectures.md index d0a2ac819..33f647413 100644 --- a/website/docs/usage/layers-architectures.md +++ b/website/docs/usage/layers-architectures.md @@ -716,7 +716,7 @@ that we want to classify as being related or not. As these candidate pairs are typically formed within one document, this function takes a [`Doc`](/api/doc) as input and outputs a `List` of `Span` tuples. For instance, the following implementation takes any two entities from the same document, as long as they -are within a **maximum distance** (in number of tokens) of eachother: +are within a **maximum distance** (in number of tokens) of each other: > #### config.cfg (excerpt) > @@ -742,7 +742,7 @@ def create_instances(max_length: int) -> Callable[[Doc], List[Tuple[Span, Span]] return get_candidates ``` -This function in added to the [`@misc` registry](/api/top-level#registry) so we +This function is added to the [`@misc` registry](/api/top-level#registry) so we can refer to it from the config, and easily swap it out for any other candidate generation function. diff --git a/website/docs/usage/training.md b/website/docs/usage/training.md index f8e502966..3447e7b1a 100644 --- a/website/docs/usage/training.md +++ b/website/docs/usage/training.md @@ -1060,7 +1060,7 @@ In this example we assume a custom function `read_custom_data` which loads or generates texts with relevant text classification annotations. Then, small lexical variations of the input text are created before generating the final [`Example`](/api/example) objects. The `@spacy.registry.readers` decorator lets -you register the function creating the custom reader in the `readers` +you register the function creating the custom reader in the `readers` [registry](/api/top-level#registry) and assign it a string name, so it can be used in your config. All arguments on the registered function become available as **config settings** โ€“ in this case, `source`. From c04bab6bae214ca31ba5c11ce6e46e4cb23923ac Mon Sep 17 00:00:00 2001 From: Matthew Honnibal Date: Sat, 9 Jan 2021 11:25:47 +1100 Subject: [PATCH 27/28] Fix train loop to avoid swallowing tracebacks (#6693) * Avoid swallowing tracebacks in train loop * Format * Handle first --- spacy/training/loop.py | 50 +++++++++++++++++++++++------------------- 1 file changed, 27 insertions(+), 23 deletions(-) diff --git a/spacy/training/loop.py b/spacy/training/loop.py index 577c80cb3..fe2d4b18f 100644 --- a/spacy/training/loop.py +++ b/spacy/training/loop.py @@ -59,6 +59,19 @@ def train( batcher = T["batcher"] train_logger = T["logger"] before_to_disk = create_before_to_disk_callback(T["before_to_disk"]) + + # Helper function to save checkpoints. This is a closure for convenience, + # to avoid passing in all the args all the time. + def save_checkpoint(is_best): + with nlp.use_params(optimizer.averages): + before_to_disk(nlp).to_disk(output_path / DIR_MODEL_LAST) + if is_best: + # Avoid saving twice (saving will be more expensive than + # the dir copy) + if (output_path / DIR_MODEL_BEST).exists(): + shutil.rmtree(output_path / DIR_MODEL_BEST) + shutil.copytree(output_path / DIR_MODEL_LAST, output_path / DIR_MODEL_BEST) + # Components that shouldn't be updated during training frozen_components = T["frozen_components"] # Create iterator, which yields out info after each optimization step. @@ -87,40 +100,31 @@ def train( if is_best_checkpoint is not None and output_path is not None: with nlp.select_pipes(disable=frozen_components): update_meta(T, nlp, info) - with nlp.use_params(optimizer.averages): - nlp = before_to_disk(nlp) - nlp.to_disk(output_path / DIR_MODEL_LAST) - if is_best_checkpoint: - with nlp.use_params(optimizer.averages): - nlp.to_disk(output_path / DIR_MODEL_BEST) - + save_checkpoint(is_best_checkpoint) except Exception as e: if output_path is not None: - # We don't want to swallow the traceback if we don't have a - # specific error, but we do want to warn that we're trying - # to do something here. stdout.write( msg.warn( f"Aborting and saving the final best model. " - f"Encountered exception: {str(e)}" + f"Encountered exception: {repr(e)}" ) + "\n" ) raise e finally: finalize_logger() - if optimizer.averages: - nlp.use_params(optimizer.averages) - if output_path is not None: - final_model_path = output_path / DIR_MODEL_LAST - nlp.to_disk(final_model_path) - # This will only run if we don't hit an error - stdout.write( - msg.good("Saved pipeline to output directory", final_model_path) + "\n" - ) - return (nlp, final_model_path) - else: - return (nlp, None) + save_checkpoint(False) + # This will only run if we did't hit an error + if optimizer.averages: + nlp.use_params(optimizer.averages) + if output_path is not None: + stdout.write( + msg.good("Saved pipeline to output directory", output_path / DIR_MODEL_LAST) + + "\n" + ) + return (nlp, output_path / DIR_MODEL_LAST) + else: + return (nlp, None) def train_while_improving( From ad43cbb04250f5b640a7c9319476b92c95f86e07 Mon Sep 17 00:00:00 2001 From: Adriane Boyd Date: Sun, 10 Jan 2021 01:30:37 +0100 Subject: [PATCH 28/28] Sync missing and misaligned values in Tagger loss (#6689) Use `None` for both missing and misaligned annotation in `Tagger.get_loss`, reverting to the default missing value in the loss function. --- spacy/pipeline/tagger.pyx | 10 ++++++++-- spacy/tests/pipeline/test_tagger.py | 9 +++++++++ 2 files changed, 17 insertions(+), 2 deletions(-) diff --git a/spacy/pipeline/tagger.pyx b/spacy/pipeline/tagger.pyx index 611eef033..d3f8c339c 100644 --- a/spacy/pipeline/tagger.pyx +++ b/spacy/pipeline/tagger.pyx @@ -256,8 +256,14 @@ class Tagger(TrainablePipe): DOCS: https://nightly.spacy.io/api/tagger#get_loss """ validate_examples(examples, "Tagger.get_loss") - loss_func = SequenceCategoricalCrossentropy(names=self.labels, normalize=False, missing_value="") - truths = [eg.get_aligned("TAG", as_string=True) for eg in examples] + loss_func = SequenceCategoricalCrossentropy(names=self.labels, normalize=False) + # Convert empty tag "" to missing value None so that both misaligned + # tokens and tokens with missing annotation have the default missing + # value None. + truths = [] + for eg in examples: + eg_truths = [tag if tag is not "" else None for tag in eg.get_aligned("TAG", as_string=True)] + truths.append(eg_truths) d_scores, loss = loss_func(scores, truths) if self.model.ops.xp.isnan(loss): raise ValueError(Errors.E910.format(name=self.name)) diff --git a/spacy/tests/pipeline/test_tagger.py b/spacy/tests/pipeline/test_tagger.py index 6f75c52a4..282961755 100644 --- a/spacy/tests/pipeline/test_tagger.py +++ b/spacy/tests/pipeline/test_tagger.py @@ -37,7 +37,16 @@ TRAIN_DATA = [ ] PARTIAL_DATA = [ + # partial annotation ("I like green eggs", {"tags": ["", "V", "J", ""]}), + # misaligned partial annotation + ( + "He hates green eggs", + { + "words": ["He", "hate", "s", "green", "eggs"], + "tags": ["", "V", "S", "J", ""], + }, + ), ]