Commit Graph

210 Commits

Author SHA1 Message Date
Ines Montani
90043a6f9b Tidy up and auto-format 2020-09-04 13:42:33 +02:00
Ines Montani
df0b68f60e Remove unicode declarations and update language data 2020-09-04 13:19:16 +02:00
Ines Montani
864a697e63 Merge branch 'develop' into master-tmp 2020-09-04 13:15:36 +02:00
Ines Montani
5afe6447cd registry.assets -> registry.misc 2020-09-03 17:31:14 +02:00
Shashank
450720aca2
Added support for Sanskrit language (#5956)
* Added support for Sanskrit language

* Added tests for lexical attribute like_num
2020-08-25 10:56:29 +02:00
idoshr
b10c7bc56e
Hebrew like num (#5952)
* Update stop_words.py

Hebrew STOP WORDS

* Update stop_words.py

* contributor

* contributor

* add some common domain extentions
support human number 1K/1M....

* support human number 1K/1M....

* hebrew number tokenize
1K/1M implement in EN

* test human tokenize fix

* test

* heb like num
revert human number change

* heb like num
2020-08-24 14:30:05 +02:00
Sofie Van Landeghem
56eabcb2f2
Adding num_like test for Czech (#5946)
* Create lex_attrs.py

Hello,

I am missing a CZECH language in SpaCy. So I would like to help to push it a little. This file is base on others lex_attrs.py files just with translation to Czech.

* Update __init__.py

Updated for use with new Czech Lex_attrs file

* Update stop_words.py

* Create test_text.py

* add like_num testing for czech

Co-authored-by: holubvl3 <47881982+holubvl3@users.noreply.github.com>
Co-authored-by: holubvl3 <vilemrousi@gmail.com>
Co-authored-by: Vladimír Holubec <vholubec@arcdata.cz>
2020-08-21 17:06:33 +02:00
Adriane Boyd
e962784531
Add Lemmatizer and simplify related components (#5848)
* Add Lemmatizer and simplify related components

* Add `Lemmatizer` pipe with `lookup` and `rule` modes using the
`Lookups` tables.
* Reduce `Tagger` to a simple tagger that sets `Token.tag` (no pos or lemma)
* Reduce `Morphology` to only keep track of morph tags (no tag map, lemmatizer,
or morph rules)
* Remove lemmatizer from `Vocab`
* Adjust many many tests

Differences:

* No default lookup lemmas
* No special treatment of TAG in `from_array` and similar required
* Easier to modify labels in a `Tagger`
* No extra strings added from morphology / tag map

* Fix test

* Initial fix for Lemmatizer config/serialization

* Adjust init test to be more generic

* Adjust init test to force empty Lookups

* Add simple cache to rule-based lemmatizer

* Convert language-specific lemmatizers

Convert language-specific lemmatizers to component lemmatizers. Remove
previous lemmatizer class.

* Fix French and Polish lemmatizers

* Remove outdated UPOS conversions

* Update Russian lemmatizer init in tests

* Add minimal init/run tests for custom lemmatizers

* Add option to overwrite existing lemmas

* Update mode setting, lookup loading, and caching

* Make `mode` an immutable property
* Only enforce strict `load_lookups` for known supported modes
* Move caching into individual `_lemmatize` methods

* Implement strict when lang is not found in lookups

* Fix tables/lookups in make_lemmatizer

* Reallow provided lookups and allow for stricter checks

* Add lookups asset to all Lemmatizer pipe tests

* Rename lookups in lemmatizer init test

* Clean up merge

* Refactor lookup table loading

* Add helper from `load_lemmatizer_lookups` that loads required and
optional lookups tables based on settings provided by a config.

Additional slight refactor of lookups:

* Add `Lookups.set_table` to set a table from a provided `Table`
* Reorder class definitions to be able to specify type as `Table`

* Move registry assets into test methods

* Refactor lookups tables config

Use class methods within `Lemmatizer` to provide the config for
particular modes and to load the lookups from a config.

* Add pipe and score to lemmatizer

* Simplify Tagger.score

* Add missing import

* Clean up imports and auto-format

* Remove unused kwarg

* Tidy up and auto-format

* Update docstrings for Lemmatizer

Update docstrings for Lemmatizer.

Additionally modify `is_base_form` API to take `Token` instead of
individual features.

* Update docstrings

* Remove tag map values from Tagger.add_label

* Update API docs

* Fix relative link in Lemmatizer API docs
2020-08-07 15:27:13 +02:00
Ines Montani
e68459296d Tidy up and auto-format 2020-08-05 16:00:59 +02:00
Rahul Gupta
f76fae0e8d
English: adds ordinal numbers (#5830) 2020-07-29 20:22:47 +02:00
Ines Montani
e92df281ce Tidy up, autoformat, add types 2020-07-25 15:01:15 +02:00
Ines Montani
cdbd6ba912
Merge pull request #5798 from explosion/feature/language-data-config 2020-07-25 13:34:49 +02:00
Adriane Boyd
656574a01a
Update Japanese tests (#5807)
* Update POS tests to reflect current behavior (it is not entirely clear
whether the AUX/VERB mapping is indeed the desired behavior?)
* Switch to `from_config` initialization in subtoken test
2020-07-24 12:45:14 +02:00
Ines Montani
a624ae0675 Remove POS, TAG and LEMMA from tokenizer exceptions 2020-07-22 23:09:01 +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
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
311d0bde29
Merge pull request #5788 from explosion/master-tmp 2020-07-20 15:39:24 +02:00
Ines Montani
644074b954 Merge branch 'develop' into master-tmp 2020-07-20 14:58:04 +02:00
Sofie Van Landeghem
c9da9605f7
Test suite clean up (#5781)
* step_through tests: skip instead of xfail

* test_empty_doc should be fixed with new Thinc version

* remove outdated test (there are other misaligned tests now)

* xfail reason

* fix test according to french exceptions

* clarified some skipped tests

* skip ukranian test instead of xfail

* skip instead of xfail

* skip + reason instead of xfail

* removed obsolete tests referring to removed "set_frozen" functionality

* fix test 999

* remove unused AlignmentError

* remove xfail where possible, skip otherwise

* increment thinc release for empty_doc test
2020-07-20 14:49:54 +02:00
Sofie Van Landeghem
1b2ec94382
Hyphen infix (#5770)
* infix split on hyphen when preceded by number

* clean up

* skip ukranian test instead of xfail
2020-07-20 14:48:51 +02:00
Ines Montani
cb65b36839
Merge pull request #5767 from adrianeboyd/feature/remove-tag-maps 2020-07-19 15:15:34 +02:00
Adriane Boyd
39ebcd9ec9
Refactor Chinese tokenizer configuration (#5736)
* Refactor Chinese tokenizer configuration

Refactor `ChineseTokenizer` configuration so that it uses a single
`segmenter` setting to choose between character segmentation, jieba, and
pkuseg.

* replace `use_jieba`, `use_pkuseg`, `require_pkuseg` with the setting
`segmenter` with the supported values: `char`, `jieba`, `pkuseg`
* make the default segmenter plain character segmentation `char` (no
additional libraries required)

* Fix Chinese serialization test to use char default

* Warn if attempting to customize other segmenter

Add a warning if `Chinese.pkuseg_update_user_dict` is called when
another segmenter is selected.
2020-07-19 13:34:37 +02:00
Adriane Boyd
2f981d5af1 Remove corpus-specific tag maps
Remove corpus-specific tag maps from the language data for languages
without custom tokenizers. For languages with custom word segmenters
that also provide tags (Japanese and Korean), the tag maps for the
custom tokenizers are kept as the default.

The default tag maps for languages without custom tokenizers are now the
default tag map from `lang/tag_map/py`, UPOS -> UPOS.
2020-07-15 15:58:29 +02:00
Matthew Honnibal
2d715451a2
Revert "Convert custom user_data to token extension format for Japanese tokenizer (#5652)" (#5665)
This reverts commit 1dd38191ec.
2020-06-29 14:34:15 +02:00
Adriane Boyd
1dd38191ec
Convert custom user_data to token extension format for Japanese tokenizer (#5652)
* Convert custom user_data to token extension format

Convert the user_data values so that they can be loaded as custom token
extensions for `inflection`, `reading_form`, `sub_tokens`, and `lemma`.

* Reset Underscore state in ja tokenizer tests
2020-06-29 14:20:26 +02:00
Hiroshi Matsuda
150a39ccca
Japanese model: add user_dict entries and small refactor (#5573)
* user_dict fields: adding inflections, reading_forms, sub_tokens
deleting: unidic_tags
improve code readability around the token alignment procedure

* add test cases, replace fugashi with sudachipy in conftest

* move bunsetu.py to spaCy Universe as a pipeline component BunsetuRecognizer

* tag is space -> both surface and tag are spaces

* consider len(text)==0
2020-06-22 14:32:25 +02:00
Rameshh
c34420794a
Add Nepali Language (#5622)
* added support for nepali lang

* added examples and test files

* added spacy contributor agreement
2020-06-22 10:25:46 +02:00
Ines Montani
ef5f548fb0 Tidy up and auto-format 2020-06-21 22:38:04 +02:00
Ines Montani
40bb918a4c Remove unicode declarations and tidy up 2020-06-21 22:34:10 +02:00
Ines Montani
52728d8fa3 Merge branch 'develop' into master-tmp 2020-06-20 15:52:00 +02:00
Jones Martins
28db7dd5d9
Add missing pronoums/determiners (#5569)
* Add missing pronoums/determiners

* Add test for missing pronoums

* Add contributor file
2020-06-10 18:47:04 +02:00
adrianeboyd
b7e6e1b9a7
Disable sentence segmentation in ja tokenizer (#5566) 2020-06-09 12:00:59 +02:00
adrianeboyd
f162815f45
Handle empty and whitespace-only docs for Japanese (#5564)
Handle empty and whitespace-only docs in the custom alignment method
used by the Japanese tokenizer.
2020-06-08 21:09:23 +02:00
adrianeboyd
3bf111585d
Update Japanese tokenizer config and add serialization (#5562)
* Use `config` dict for tokenizer settings
* Add serialization of split mode setting
* Add tests for tokenizer split modes and serialization of split mode
setting

Based on #5561
2020-06-08 16:29:05 +02:00
Paul O'Leary McCann
410fb7ee43
Add Japanese Model (#5544)
* Add more rules to deal with Japanese UD mappings

Japanese UD rules sometimes give different UD tags to tokens with the
same underlying POS tag. The UD spec indicates these cases should be
disambiguated using the output of a tool called "comainu", but rules are
enough to get the right result.

These rules are taken from Ginza at time of writing, see #3756.

* Add new tags from GSD

This is a few rare tags that aren't in Unidic but are in the GSD data.

* Add basic Japanese sentencization

This code is taken from Ginza again.

* Add sentenceizer quote handling

Could probably add more paired characters but this will do for now. Also
includes some tests.

* Replace fugashi with SudachiPy

* Modify tag format to match GSD annotations

Some of the tests still need to be updated, but I want to get this up
for testing training.

* Deal with case with closing punct without opening

* refactor resolve_pos()

* change tag field separator from "," to "-"

* add TAG_ORTH_MAP

* add TAG_BIGRAM_MAP

* revise rules for 連体詞

* revise rules for 連体詞

* improve POS about 2%

* add syntax_iterator.py (not mature yet)

* improve syntax_iterators.py

* improve syntax_iterators.py

* add phrases including nouns and drop NPs consist of STOP_WORDS

* First take at noun chunks

This works in many situations but still has issues in others.

If the start of a subtree has no noun, then nested phrases can be
generated.

    また行きたい、そんな気持ちにさせてくれるお店です。
    [そんな気持ち, また行きたい、そんな気持ちにさせてくれるお店]

For some reason て gets included sometimes. Not sure why.

    ゲンに連れ添って円盤生物を調査するパートナーとなる。
    [て円盤生物, ...]

Some phrases that look like they should be split are grouped together;
not entirely sure that's wrong. This whole thing becomes one chunk:

    道の駅遠山郷北側からかぐら大橋南詰現道交点までの1.060kmのみ開通済み

* Use new generic get_words_and_spaces

The new get_words_and_spaces function is simpler than what was used in
Japanese, so it's good to be able to switch to it. However, there was an
issue. The new function works just on text, so POS info could get out of
sync. Fixing this required a small change to the way dtokens (tokens
with POS and lemma info) were generated.

Specifically, multiple extraneous spaces now become a single token, so
when generating dtokens multiple space tokens should be created in a
row.

* Fix noun_chunks, should be working now

* Fix some tests, add naughty strings tests

Some of the existing tests changed because the tokenization mode of
Sudachi changed to the more fine-grained A mode.

Sudachi also has issues with some strings, so this adds a test against
the naughty strings.

* Remove empty Sudachi tokens

Not doing this creates zero-length tokens and causes errors in the
internal spaCy processing.

* Add yield_bunsetu back in as a separate piece of code

Co-authored-by: Hiroshi Matsuda <40782025+hiroshi-matsuda-rit@users.noreply.github.com>
Co-authored-by: hiroshi <hiroshi_matsuda@megagon.ai>
2020-06-04 19:15:43 +02:00
Ines Montani
24f72c669c Merge branch 'develop' into master-tmp 2020-05-21 18:39:06 +02:00
Ines Montani
c6ec19c844 Add missing declaration 2020-05-21 17:30:05 +02:00
Ines Montani
bd6353715a Merge branch 'master' into fix/travis-tests 2020-05-21 14:23:04 +02:00
Ines Montani
d8f3190c0a Tidy up and auto-format 2020-05-21 14:14:01 +02:00
Ines Montani
56de520afd Try to fix tests on Travis (2.7) 2020-05-21 14:04:57 +02:00
adrianeboyd
0061992d95
Update Polish tokenizer for UD_Polish-PDB (#5432)
Update Polish tokenizer for UD_Polish-PDB, which is a relatively major
change from the existing tokenizer. Unused exceptions files and
conflicting test cases removed.

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-05-19 15:59:55 +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
adrianeboyd
780b869345
Fix syntax iterators for Persian (#5437) 2020-05-14 16:51:03 +02:00
Vishnu Priya VR
9ce059dd06
Limiting noun_chunks for specific languages (#5396)
* Limiting noun_chunks for specific langauges

* Limiting noun_chunks for specific languages

Contributor Agreement

* Addressing review comments

* Removed unused fixtures and imports

* Add fa_tokenizer in test suite

* Use fa_tokenizer in test

* Undo extraneous reformatting

Co-authored-by: adrianeboyd <adrianeboyd@gmail.com>
2020-05-14 12:58:06 +02:00
adrianeboyd
c963e269ba
Add method to update / reset pkuseg user dict (#5404) 2020-05-08 11:21:46 +02:00
Samuel Rodríguez Medina
5e55bfa821
Fixed tests for Swedish that were written in Danish. (#5395) 2020-05-05 14:06:27 +02:00
Samuel Rodríguez Medina
148b036e0c
Spanish like num improvement (#5381)
* Add tests for Spanish like_num.

* Add missing numbers in Spanish lexical attributes for like_num.

* Modify Spanish test function name.

* Add contributor agreement.
2020-04-30 11:13:23 +02:00
Samuel Rodríguez Medina
8602daba85
Swedish like_num (#5371)
* Sign contributor agreement.

* Add like_num functionality to Swedish.

* Update spacy/tests/lang/sv/test_lex_attrs.py

Co-Authored-By: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Update contributor agreement

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
2020-04-29 21:25:22 +02:00
Sofie Van Landeghem
9203d821ae
Add 2 ini files in tests/lang (#5359) 2020-04-27 13:01:54 +02:00
Punitvara
b2b7e1f37a
This PR adds Gujarati Language class along with (#5355)
* This PR adds Gujarati Language class along with
- stop words

* Add test for gu tokenizer
2020-04-27 11:07:37 +02:00