Commit Graph

435 Commits

Author SHA1 Message Date
Ines Montani
14d7d46f89 Merge branch 'develop' into feature/language-data-config 2020-07-22 22:18:53 +02:00
Ines Montani
b507f61629 Tidy up and move noun_chunks, token_match, url_match 2020-07-22 22:18:46 +02:00
Ines Montani
d0c6d1efc5
@factories -> factory (#5801) 2020-07-22 17:29:31 +02:00
Ines Montani
945f795a3e WIP: move more language data to config 2020-07-22 15:59:37 +02:00
Ines Montani
43b960c01b
Refactor pipeline components, config and language data (#5759)
* Update with WIP

* Update with WIP

* Update with pipeline serialization

* Update types and pipe factories

* Add deep merge, tidy up and add tests

* Fix pipe creation from config

* Don't validate default configs on load

* Update spacy/language.py

Co-authored-by: Ines Montani <ines@ines.io>

* Adjust factory/component meta error

* Clean up factory args and remove defaults

* Add test for failing empty dict defaults

* Update pipeline handling and methods

* provide KB as registry function instead of as object

* small change in test to make functionality more clear

* update example script for EL configuration

* Fix typo

* Simplify test

* Simplify test

* splitting pipes.pyx into separate files

* moving default configs to each component file

* fix batch_size type

* removing default values from component constructors where possible (TODO: test 4725)

* skip instead of xfail

* Add test for config -> nlp with multiple instances

* pipeline.pipes -> pipeline.pipe

* Tidy up, document, remove kwargs

* small cleanup/generalization for Tok2VecListener

* use DEFAULT_UPSTREAM field

* revert to avoid circular imports

* Fix tests

* Replace deprecated arg

* Make model dirs require config

* fix pickling of keyword-only arguments in constructor

* WIP: clean up and integrate full config

* Add helper to handle function args more reliably

Now also includes keyword-only args

* Fix config composition and serialization

* Improve config debugging and add visual diff

* Remove unused defaults and fix type

* Remove pipeline and factories from meta

* Update spacy/default_config.cfg

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Update spacy/default_config.cfg

* small UX edits

* avoid printing stack trace for debug CLI commands

* Add support for language-specific factories

* specify the section of the config which holds the model to debug

* WIP: add Language.from_config

* Update with language data refactor WIP

* Auto-format

* Add backwards-compat handling for Language.factories

* Update morphologizer.pyx

* Fix morphologizer

* Update and simplify lemmatizers

* Fix Japanese tests

* Port over tagger changes

* Fix Chinese and tests

* Update to latest Thinc

* WIP: xfail first Russian lemmatizer test

* Fix component-specific overrides

* fix nO for output layers in debug_model

* Fix default value

* Fix tests and don't pass objects in config

* Fix deep merging

* Fix lemma lookup data registry

Only load the lookups if an entry is available in the registry (and if spacy-lookups-data is installed)

* Add types

* Add Vocab.from_config

* Fix typo

* Fix tests

* Make config copying more elegant

* Fix pipe analysis

* Fix lemmatizers and is_base_form

* WIP: move language defaults to config

* Fix morphology type

* Fix vocab

* Remove comment

* Update to latest Thinc

* Add morph rules to config

* Tidy up

* Remove set_morphology option from tagger factory

* Hack use_gpu

* Move [pipeline] to top-level block and make [nlp.pipeline] list

Allows separating component blocks from component order – otherwise, ordering the config would mean a changed component order, which is bad. Also allows initial config to define more components and not use all of them

* Fix use_gpu and resume in CLI

* Auto-format

* Remove resume from config

* Fix formatting and error

* [pipeline] -> [components]

* Fix types

* Fix tagger test: requires set_morphology?

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-07-22 13:42:59 +02:00
Ines Montani
644074b954 Merge branch 'develop' into master-tmp 2020-07-20 14:58:04 +02:00
Adriane Boyd
d106cf66dd Update Morphology to load exceptions as MORPH_RULES
Update `Morphology` to load exceptions in `Morphology.__init__` and
`Morphology.load_morph_exceptions` from the format used in `MORPH_RULES`
rather than the internal format with tuple keys.

* Rename to `Morphology.exc` to `Morphology._exc` for internal use with
tuple keys
* Add `Morphology.exc` as a property that converts the internal `_exc`
back to `MORPH_RULES` format, primarily for serialization
2020-07-16 21:16:49 +02:00
Ines Montani
5f6f4ff594 Remove object subclassing 2020-07-12 14:03:23 +02:00
Sofie Van Landeghem
dd207a28be
cleanup components API (#5726)
* add keyword separator for update functions and drop unused "state"

* few more Example tests and various small fixes

* consistently return losses after update call

* eliminate unused tensors field across pipe components

* fix name

* fix arg name
2020-07-09 19:43:39 +02:00
Matthw Honnibal
93e50da46a Remove auto 'set_annotation' in training to address GPU memory 2020-07-08 21:36:51 +02:00
Ines Montani
412dbb1f38
Remove dead and/or deprecated code (#5710)
* Remove dead and/or deprecated code

* Remove n_threads

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-07-06 13:06:25 +02:00
Sofie Van Landeghem
fcbf899b08
Feature/example only (#5707)
* remove _convert_examples

* fix test_gold, raise TypeError if tuples are used instead of Example's

* throwing proper errors when the wrong type of objects are passed

* fix deprectated format in tests

* fix deprectated format in parser tests

* fix tests for NEL, morph, senter, tagger, textcat

* update regression tests with new Example format

* use make_doc

* more fixes to nlp.update calls

* few more small fixes for rehearse and evaluate

* only import ml_datasets if really necessary
2020-07-06 13:02:36 +02:00
Adriane Boyd
971826a96d
Include git commit in package and model meta (#5694)
* Include git commit in package and model meta

* Rewrite to read file in setup

* Fix file handle
2020-07-02 17:10:27 +02:00
Adriane Boyd
167df42cb6
Move lemmatizer is_base_form to language settings (#5663)
Move `Lemmatizer.is_base_form` to the language settings so that each
language can provide a language-specific method as
`LanguageDefaults.is_base_form`.

The existing English-specific `Lemmatizer.is_base_form` is moved to
`EnglishDefaults`.
2020-06-29 14:16:57 +02:00
Matthew Honnibal
8c29268749
Improve spacy.gold (no GoldParse, no json format!) (#5555)
* Update errors

* Remove beam for now (maybe)

Remove beam_utils

Update setup.py

Remove beam

* Remove GoldParse

WIP on removing goldparse

Get ArcEager compiling after GoldParse excise

Update setup.py

Get spacy.syntax compiling after removing GoldParse

Rename NewExample -> Example and clean up

Clean html files

Start updating tests

Update Morphologizer

* fix error numbers

* fix merge conflict

* informative error when calling to_array with wrong field

* fix error catching

* fixing language and scoring tests

* start testing get_aligned

* additional tests for new get_aligned function

* Draft create_gold_state for arc_eager oracle

* Fix import

* Fix import

* Remove TokenAnnotation code from nonproj

* fixing NER one-to-many alignment

* Fix many-to-one IOB codes

* fix test for misaligned

* attempt to fix cases with weird spaces

* fix spaces

* test_gold_biluo_different_tokenization works

* allow None as BILUO annotation

* fixed some tests + WIP roundtrip unit test

* add spaces to json output format

* minibatch utiltiy can deal with strings, docs or examples

* fix augment (needs further testing)

* various fixes in scripts - needs to be further tested

* fix test_cli

* cleanup

* correct silly typo

* add support for MORPH in to/from_array, fix morphologizer overfitting test

* fix tagger

* fix entity linker

* ensure test keeps working with non-linked entities

* pipe() takes docs, not examples

* small bug fix

* textcat bugfix

* throw informative error when running the components with the wrong type of objects

* fix parser tests to work with example (most still failing)

* fix BiluoPushDown parsing entities

* small fixes

* bugfix tok2vec

* fix renames and simple_ner labels

* various small fixes

* prevent writing dummy values like deps because that could interfer with sent_start values

* fix the fix

* implement split_sent with aligned SENT_START attribute

* test for split sentences with various alignment issues, works

* Return ArcEagerGoldParse from ArcEager

* Update parser and NER gold stuff

* Draft new GoldCorpus class

* add links to to_dict

* clean up

* fix test checking for variants

* Fix oracles

* Start updating converters

* Move converters under spacy.gold

* Move things around

* Fix naming

* Fix name

* Update converter to produce DocBin

* Update converters

* Allow DocBin to take list of Doc objects.

* Make spacy convert output docbin

* Fix import

* Fix docbin

* Fix compile in ArcEager

* Fix import

* Serialize all attrs by default

* Update converter

* Remove jsonl converter

* Add json2docs converter

* Draft Corpus class for DocBin

* Work on train script

* Update Corpus

* Update DocBin

* Allocate Doc before starting to add words

* Make doc.from_array several times faster

* Update train.py

* Fix Corpus

* Fix parser model

* Start debugging arc_eager oracle

* Update header

* Fix parser declaration

* Xfail some tests

* Skip tests that cause crashes

* Skip test causing segfault

* Remove GoldCorpus

* Update imports

* Update after removing GoldCorpus

* Fix module name of corpus

* Fix mimport

* Work on parser oracle

* Update arc_eager oracle

* Restore ArcEager.get_cost function

* Update transition system

* Update test_arc_eager_oracle

* Remove beam test

* Update test

* Unskip

* Unskip tests

* add links to to_dict

* clean up

* fix test checking for variants

* Allow DocBin to take list of Doc objects.

* Fix compile in ArcEager

* Serialize all attrs by default

Move converters under spacy.gold

Move things around

Fix naming

Fix name

Update converter to produce DocBin

Update converters

Make spacy convert output docbin

Fix import

Fix docbin

Fix import

Update converter

Remove jsonl converter

Add json2docs converter

* Allocate Doc before starting to add words

* Make doc.from_array several times faster

* Start updating converters

* Work on train script

* Draft Corpus class for DocBin

Update Corpus

Fix Corpus

* Update DocBin

Add missing strings when serializing

* Update train.py

* Fix parser model

* Start debugging arc_eager oracle

* Update header

* Fix parser declaration

* Xfail some tests

Skip tests that cause crashes

Skip test causing segfault

* Remove GoldCorpus

Update imports

Update after removing GoldCorpus

Fix module name of corpus

Fix mimport

* Work on parser oracle

Update arc_eager oracle

Restore ArcEager.get_cost function

Update transition system

* Update tests

Remove beam test

Update test

Unskip

Unskip tests

* Add get_aligned_parse method in Example

Fix Example.get_aligned_parse

* Add kwargs to Corpus.dev_dataset to match train_dataset

* Update nonproj

* Use get_aligned_parse in ArcEager

* Add another arc-eager oracle test

* Remove Example.doc property

Remove Example.doc

Remove Example.doc

Remove Example.doc

Remove Example.doc

* Update ArcEager oracle

Fix Break oracle

* Debugging

* Fix Corpus

* Fix eg.doc

* Format

* small fixes

* limit arg for Corpus

* fix test_roundtrip_docs_to_docbin

* fix test_make_orth_variants

* fix add_label test

* Update tests

* avoid writing temp dir in json2docs, fixing 4402 test

* Update test

* Add missing costs to NER oracle

* Update test

* Work on Example.get_aligned_ner method

* Clean up debugging

* Xfail tests

* Remove prints

* Remove print

* Xfail some tests

* Replace unseen labels for parser

* Update test

* Update test

* Xfail test

* Fix Corpus

* fix imports

* fix docs_to_json

* various small fixes

* cleanup

* Support gold_preproc in Corpus

* Support gold_preproc

* Pass gold_preproc setting into corpus

* Remove debugging

* Fix gold_preproc

* Fix json2docs converter

* Fix convert command

* Fix flake8

* Fix import

* fix output_dir (converted to Path by typer)

* fix var

* bugfix: update states after creating golds to avoid out of bounds indexing

* Improve efficiency of ArEager oracle

* pull merge_sent into iob2docs to avoid Doc creation for each line

* fix asserts

* bugfix excl Span.end in iob2docs

* Support max_length in Corpus

* Fix arc_eager oracle

* Filter out uannotated sentences in NER

* Remove debugging in parser

* Simplify NER alignment

* Fix conversion of NER data

* Fix NER init_gold_batch

* Tweak efficiency of precomputable affine

* Update onto-json default

* Update gold test for NER

* Fix parser test

* Update test

* Add NER data test

* Fix convert for single file

* Fix test

* Hack scorer to avoid evaluating non-nered data

* Fix handling of NER data in Example

* Output unlabelled spans from O biluo tags in iob_utils

* Fix unset variable

* Return kept examples from init_gold_batch

* Return examples from init_gold_batch

* Dont return Example from init_gold_batch

* Set spaces on gold doc after conversion

* Add test

* Fix spaces reading

* Improve NER alignment

* Improve handling of missing values in NER

* Restore the 'cutting' in parser training

* Add assertion

* Print epochs

* Restore random cuts in parser/ner training

* Implement Doc.copy

* Implement Example.copy

* Copy examples at the start of Language.update

* Don't unset example docs

* Tweak parser model slightly

* attempt to fix _guess_spaces

* _add_entities_to_doc first, so that links don't get overwritten

* fixing get_aligned_ner for one-to-many

* fix indexing into x_text

* small fix biluo_tags_from_offsets

* Add onto-ner config

* Simplify NER alignment

* Fix NER scoring for partially annotated documents

* fix indexing into x_text

* fix test_cli failing tests by ignoring spans in doc.ents with empty label

* Fix limit

* Improve NER alignment

* Fix count_train

* Remove print statement

* fix tests, we're not having nothing but None

* fix clumsy fingers

* Fix tests

* Fix doc.ents

* Remove empty docs in Corpus and improve limit

* Update config

Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
2020-06-26 19:34:12 +02:00
svlandeg
6179774278 fix test_build_dependencies by ignoring new libs 2020-06-20 22:49:37 +02:00
Ines Montani
52728d8fa3 Merge branch 'develop' into master-tmp 2020-06-20 15:52:00 +02:00
Sofie Van Landeghem
c0f4a1e43b
train is from-config by default (#5575)
* verbose and tag_map options

* adding init_tok2vec option and only changing the tok2vec that is specified

* adding omit_extra_lookups and verifying textcat config

* wip

* pretrain bugfix

* add replace and resume options

* train_textcat fix

* raw text functionality

* improve UX when KeyError or when input data can't be parsed

* avoid unnecessary access to goldparse in TextCat pipe

* save performance information in nlp.meta

* add noise_level to config

* move nn_parser's defaults to config file

* multitask in config - doesn't work yet

* scorer offering both F and AUC options, need to be specified in config

* add textcat verification code from old train script

* small fixes to config files

* clean up

* set default config for ner/parser to allow create_pipe to work as before

* two more test fixes

* small fixes

* cleanup

* fix NER pickling + additional unit test

* create_pipe as before
2020-06-12 02:02:07 +02:00
Matthew Honnibal
8411d4f4e6
Merge pull request #5543 from svlandeg/feature/pretrain-config
pretrain from config
2020-06-04 19:07:12 +02:00
Ines Montani
810fce3bb1 Merge branch 'develop' into master-tmp 2020-06-03 14:36:59 +02:00
svlandeg
e0f9f448f1 remove Tensorizer 2020-06-01 23:38:48 +02:00
Ines Montani
e47e5a4b10 Use more sophisticated version parsing logic 2020-05-30 15:01:58 +02:00
Adriane Boyd
25de2a2191 Improve vector name loading from model meta 2020-05-27 14:48:54 +02:00
Ines Montani
1a15896ba9 unicode -> str consistency [ci skip] 2020-05-24 18:51:10 +02:00
Ines Montani
5d3806e059 unicode -> str consistency 2020-05-24 17:20:58 +02:00
Ines Montani
4465cad6c5 Rename spacy.analysis to spacy.pipe_analysis 2020-05-22 17:42:06 +02:00
Ines Montani
25d6ed3fb8
Merge pull request #5489 from explosion/feature/connected-components 2020-05-22 17:40:11 +02:00
Matthew Honnibal
f7f6df7275 Move to spacy.analysis 2020-05-22 16:43:18 +02:00
Matthew Honnibal
78d79d94ce Guess set_annotations=True in nlp.update
During `nlp.update`, components can be passed a boolean set_annotations
to indicate whether they should assign annotations to the `Doc`. This
needs to be called if downstream components expect to use the
annotations during training, e.g. if we wanted to use tagger features in
the parser.

Components can specify their assignments and requirements, so we can
figure out which components have these inter-dependencies. After
figuring this out, we can guess whether to pass set_annotations=True.

We could also call set_annotations=True always, or even just have this
as the only behaviour. The downside of this is that it would require the
`Doc` objects to be created afresh to avoid problematic modifications.
One approach would be to make a fresh copy of the `Doc` objects within
`nlp.update()`, so that we can write to the objects without any
problems. If we do that, we can drop this logic and also drop the
`set_annotations` mechanism. I would be fine with that approach,
although it runs the risk of introducing some performance overhead, and
we'll have to take care to copy all extension attributes etc.
2020-05-22 15:55:45 +02:00
Ines Montani
6e6db6afb6 Better model compatibility and validation 2020-05-22 15:42:46 +02:00
Adriane Boyd
e4a1b5dab1 Rename to url_match
Rename to `url_match` and update docs.
2020-05-22 12:41:03 +02:00
Adriane Boyd
730fa493a4 Merge remote-tracking branch 'upstream/master' into bugfix/revert-token-match 2020-05-22 12:18:00 +02:00
Matthew Honnibal
93c4d13588
Merge pull request #5264 from lfiedler/issue-5230
Fix ResourceWarnings during unittest
2020-05-22 00:31:07 +02:00
Matthew Honnibal
5ce02c1b17
Merge pull request #5470 from svlandeg/bugfix/noun-chunks
Bugfix in noun chunks
2020-05-21 20:51:31 +02:00
Ines Montani
0f1beb5ff2 Tidy up and avoid absolute spacy imports in core 2020-05-21 20:05:03 +02:00
svlandeg
84d5b7ad0a Merge remote-tracking branch 'upstream/master' into bugfix/noun-chunks
# Conflicts:
#	spacy/lang/el/syntax_iterators.py
#	spacy/lang/en/syntax_iterators.py
#	spacy/lang/fa/syntax_iterators.py
#	spacy/lang/fr/syntax_iterators.py
#	spacy/lang/id/syntax_iterators.py
#	spacy/lang/nb/syntax_iterators.py
#	spacy/lang/sv/syntax_iterators.py
2020-05-21 19:19:50 +02:00
Ines Montani
24f72c669c Merge branch 'develop' into master-tmp 2020-05-21 18:39:06 +02:00
Ines Montani
d8f3190c0a Tidy up and auto-format 2020-05-21 14:14:01 +02:00
svlandeg
b509a3e7fc fix: use actual range in 'seen' instead of subtree 2020-05-20 23:06:39 +02:00
Sofie Van Landeghem
7f5715a081
Various fixes to NEL functionality, Example class etc (#5460)
* setting KB in the EL constructor, similar to how the model is passed on

* removing wikipedia example files - moved to projects

* throw an error when nlp.update is called with 2 positional arguments

* rewriting the config logic in create pipe to accomodate for other objects (e.g. KB) in the config

* update config files with new parameters

* avoid training pipeline components that don't have a model (like sentencizer)

* various small fixes + UX improvements

* small fixes

* set thinc to 8.0.0a9 everywhere

* remove outdated comment
2020-05-20 11:41:12 +02:00
Sofie Van Landeghem
f00de445dd
default models defined in component decorator (#5452)
* move defaults to pipeline and use in component decorator

* black formatting

* relative import
2020-05-19 16:20:03 +02:00
adrianeboyd
a5cd203284
Reduce stored lexemes data, move feats to lookups (#5238)
* Reduce stored lexemes data, move feats to lookups

* Move non-derivable lexemes features (`norm / cluster / prob`) to
`spacy-lookups-data` as lookups
  * Get/set `norm` in both lookups and `LexemeC`, serialize in lookups
  * Remove `cluster` and `prob` from `LexemesC`, get/set/serialize in
    lookups only
* Remove serialization of lexemes data as `vocab/lexemes.bin`
  * Remove `SerializedLexemeC`
  * Remove `Lexeme.to_bytes/from_bytes`
* Modify normalization exception loading:
  * Always create `Vocab.lookups` table `lexeme_norm` for
    normalization exceptions
  * Load base exceptions from `lang.norm_exceptions`, but load
    language-specific exceptions from lookups
  * Set `lex_attr_getter[NORM]` including new lookups table in
    `BaseDefaults.create_vocab()` and when deserializing `Vocab`
* Remove all cached lexemes when deserializing vocab to override
  existing normalizations with the new normalizations (as a replacement
  for the previous step that replaced all lexemes data with the
  deserialized data)

* Skip English normalization test

Skip English normalization test because the data is now in
`spacy-lookups-data`.

* Remove norm exceptions

Moved to spacy-lookups-data.

* Move norm exceptions test to spacy-lookups-data

* Load extra lookups from spacy-lookups-data lazily

Load extra lookups (currently for cluster and prob) lazily from the
entry point `lg_extra` as `Vocab.lookups_extra`.

* Skip creating lexeme cache on load

To improve model loading times, do not create the full lexeme cache when
loading. The lexemes will be created on demand when processing.

* Identify numeric values in Lexeme.set_attrs()

With the removal of a special case for `PROB`, also identify `float` to
avoid trying to convert it with the `StringStore`.

* Skip lexeme cache init in from_bytes

* Unskip and update lookups tests for python3.6+

* Update vocab pickle to include lookups_extra

* Update vocab serialization tests

Check strings rather than lexemes since lexemes aren't initialized
automatically, account for addition of "_SP".

* Re-skip lookups test because of python3.5

* Skip PROB/float values in Lexeme.set_attrs

* Convert is_oov from lexeme flag to lex in vectors

Instead of storing `is_oov` as a lexeme flag, `is_oov` reports whether
the lexeme has a vector.

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-05-19 15:59:14 +02:00
Sofie Van Landeghem
0d94737857
Feature toggle_pipes (#5378)
* make disable_pipes deprecated in favour of the new toggle_pipes

* rewrite disable_pipes statements

* update documentation

* remove bin/wiki_entity_linking folder

* one more fix

* remove deprecated link to documentation

* few more doc fixes

* add note about name change to the docs

* restore original disable_pipes

* small fixes

* fix typo

* fix error number to W096

* rename to select_pipes

* also make changes to the documentation

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-05-18 22:27:10 +02:00
Matthew Honnibal
333b1a308b
Adapt parser and NER for transformers (#5449)
* Draft layer for BILUO actions

* Fixes to biluo layer

* WIP on BILUO layer

* Add tests for BILUO layer

* Format

* Fix transitions

* Update test

* Link in the simple_ner

* Update BILUO tagger

* Update __init__

* Import simple_ner

* Update test

* Import

* Add files

* Add config

* Fix label passing for BILUO and tagger

* Fix label handling for simple_ner component

* Update simple NER test

* Update config

* Hack train script

* Update BILUO layer

* Fix SimpleNER component

* Update train_from_config

* Add biluo_to_iob helper

* Add IOB layer

* Add IOBTagger model

* Update biluo layer

* Update SimpleNER tagger

* Update BILUO

* Read random seed in train-from-config

* Update use of normal_init

* Fix normalization of gradient in SimpleNER

* Update IOBTagger

* Remove print

* Tweak masking in BILUO

* Add dropout in SimpleNER

* Update thinc

* Tidy up simple_ner

* Fix biluo model

* Unhack train-from-config

* Update setup.cfg and requirements

* Add tb_framework.py for parser model

* Try to avoid memory leak in BILUO

* Move ParserModel into spacy.ml, avoid need for subclass.

* Use updated parser model

* Remove incorrect call to model.initializre in PrecomputableAffine

* Update parser model

* Avoid divide by zero in tagger

* Add extra dropout layer in tagger

* Refine minibatch_by_words function to avoid oom

* Fix parser model after refactor

* Try to avoid div-by-zero in SimpleNER

* Fix infinite loop in minibatch_by_words

* Use SequenceCategoricalCrossentropy in Tagger

* Fix parser model when hidden layer

* Remove extra dropout from tagger

* Add extra nan check in tagger

* Fix thinc version

* Update tests and imports

* Fix test

* Update test

* Update tests

* Fix tests

* Fix test

Co-authored-by: Ines Montani <ines@ines.io>
2020-05-18 22:23:33 +02:00
svlandeg
e0fda2bd81 throw warning when model_cfg is None 2020-05-15 11:02:10 +02:00
adrianeboyd
908dea3939
Skip duplicate lexeme rank setting (#5401)
Skip duplicate lexeme rank setting within
`_fix_pretrained_vectors_name()`.
2020-05-14 18:26:12 +02:00
Adriane Boyd
565e0eef73 Add tokenizer option for token match with affixes
To fix the slow tokenizer URL (#4374) and allow `token_match` to take
priority over prefixes and suffixes by default, introduce a new
tokenizer option for a token match pattern that's applied after prefixes
and suffixes but before infixes.
2020-05-05 10:35:33 +02:00
Adriane Boyd
bc39f97e11 Simplify warnings 2020-04-28 13:37:37 +02:00
adrianeboyd
f7471abd82
Add pkuseg and serialization support for Chinese (#5308)
* Add pkuseg and serialization support for Chinese

Add support for pkuseg alongside jieba

* Specify model through `Language` meta:

  * split on characters (if no word segmentation packages are installed)

```
Chinese(meta={"tokenizer": {"config": {"use_jieba": False, "use_pkuseg": False}}})
```

  * jieba (remains the default tokenizer if installed)

```
Chinese()
Chinese(meta={"tokenizer": {"config": {"use_jieba": True}}}) # explicit
```

  * pkuseg

```
Chinese(meta={"tokenizer": {"config": {"pkuseg_model": "default", "use_jieba": False, "use_pkuseg": True}}})
```

* The new tokenizer setting `require_pkuseg` is used to override
`use_jieba` default, which is intended for models that provide a pkuseg
model:

```
nlp_pkuseg = Chinese(meta={"tokenizer": {"config": {"pkuseg_model": "default", "require_pkuseg": True}}})
nlp = Chinese() # has `use_jieba` as `True` by default
nlp.from_bytes(nlp_pkuseg.to_bytes()) # `require_pkuseg` overrides `use_jieba` when calling the tokenizer
```

Add support for serialization of tokenizer settings and pkuseg model, if
loaded

* Add sorting for `Language.to_bytes()` serialization of `Language.meta`
so that the (emptied, but still present) tokenizer metadata is in a
consistent position in the serialized data

Extend tests to cover all three tokenizer configurations and
serialization

* Fix from_disk and tests without jieba or pkuseg

* Load cfg first and only show error if `use_pkuseg`
* Fix blank/default initialization in serialization tests

* Explicitly initialize jieba's cache on init

* Add serialization for pkuseg pre/postprocessors

* Reformat pkuseg install message
2020-04-18 17:01:53 +02:00
Leander Fiedler
1cd975d4a5 issue5230: fixed resource warnings in language 2020-04-06 18:54:32 +02:00