Commit Graph

191 Commits

Author SHA1 Message Date
Ines Montani
644074b954 Merge branch 'develop' into master-tmp 2020-07-20 14:58:04 +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
sabiqueqb
fc91660aa2
Gh 5339 language class for malayalam (#5342)
* Initialize Malayalam Language class

* Add lex_attrs and examples for Malayalam

* Add spaCy Contributor Agreement

* Add test for ml tokenizer
2020-04-27 09:45:08 +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
adrianeboyd
cf579a398d
Add __init__.py to eu and hy tests (#5278) 2020-04-08 20:03:06 +02:00
YohannesDatasci
beef184e53
Armenian language support (#5246)
* add Armenian language and test cases

* agreement submission
2020-04-03 13:02:18 +02:00
Ines Montani
f12a46472c Remove unicode declarations 2020-03-26 15:18:32 +01:00
Ines Montani
46568f40a7 Merge branch 'master' into tmp/sync 2020-03-26 13:38:14 +01:00
Ines Montani
828acffc12 Tidy up and auto-format 2020-03-25 12:28:12 +01:00
adrianeboyd
86c43e55fa
Improve Lithuanian tokenization (#5205)
* Improve Lithuanian tokenization

Modify Lithuanian tokenization to improve performance for
UD_Lithuanian-ALKSNIS.

* Update Lithuanian tokenizer tests
2020-03-25 11:28:12 +01:00
Adriane Boyd
09d442f5ad Merge remote-tracking branch 'upstream/master' into feature/ud-tokenization-da 2020-03-25 09:41:52 +01:00
Adriane Boyd
cba2d1d972 Disable failing abbreviation test
UD_Danish-DDT has (as far as I can tell) hallucinated periods after
abbreviations, so the changes are an artifact of the corpus and not due
to anything meaningful about Danish tokenization.
2020-03-25 09:39:26 +01:00
Muhammad Irfan
03376c9d9b Basque language added and tested. 2020-03-04 11:58:56 +05:00
Sofie Van Landeghem
44f4142ce4
add two abbreviations and some additional unit tests (#5040) 2020-02-22 14:12:32 +01:00
Ines Montani
e3f40a6a0f Tidy up and auto-format 2020-02-18 15:38:18 +01:00
Ines Montani
de11ea753a Merge branch 'master' into develop 2020-02-18 14:47:23 +01:00
Antti Ajanki
e1f777b151
Improvements for Finnish tokenizer (#4985)
* don't split on a colon. Colon is used to attach suffixes for abbreviations
* tokenize on any of LIST_HYPHENS (except a single hyphen), not just on --
* simplify infix rules by merging similar rules
2020-02-10 20:32:43 -05:00
adrianeboyd
aef83e8070 Mark most Hungarian tokenizer test cases as slow (#4883)
* Mark most Hungarian tokenizer test cases as slow

Mark most Hungarian tokenizer test cases as slow to reduce the runtime
of the test suite in ordinary usage:

* for normal tests: run default tests plus 10% of the detailed tests
* for slow tests: run all tests

* Rework to mark individual tests as slow
2020-01-08 12:34:06 +01:00
adrianeboyd
d652ff215d Add trailing whitespace to multiline test text (#4877) 2020-01-06 14:58:59 +01:00
Ines Montani
401946d480 Un-xfail passing tests 2019-12-25 18:02:20 +01:00
Ines Montani
db55577c45
Drop Python 2.7 and 3.5 (#4828)
* Remove unicode declarations

* Remove Python 3.5 and 2.7 from CI

* Don't require pathlib

* Replace compat helpers

* Remove OrderedDict

* Use f-strings

* Set Cython compiler language level

* Fix typo

* Re-add OrderedDict for Table

* Update setup.cfg

* Revert CONTRIBUTING.md

* Revert lookups.md

* Revert top-level.md

* Small adjustments and docs [ci skip]
2019-12-22 01:53:56 +01:00