Commit Graph

711 Commits

Author SHA1 Message Date
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
Hiroshi Matsuda
456bf47f51
fix a bug causing mis-alignments (#5560) 2020-06-08 15:49:34 +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
Leo
925e938570
Spanish tokenizer exception and examples improvement (#5531)
* Spanish tokenizer exception additions. Added Spanish question examples

* erased slang tokenization examples
2020-06-01 18:18:34 +02:00
Leo
c21c308ecb
corrected issue #5524 changed <U+009C> 'STRING TERMINATOR' for <U+0153> LATIN SMALL LIGATURE OE' (#5526) 2020-05-31 22:08:12 +02:00
adrianeboyd
aad0610a85
Map NR to PROPN (#5512) 2020-05-26 22:30:53 +02:00
Adriane Boyd
1eed101be9 Fix Polish lemmatizer for deserialized models
Restructure Polish lemmatizer not to depend on lookups data in
`__init__` since the lemmatizer is initialized before the lookups data
is loaded from a saved model. The lookups tables are accessed first in
`__call__` instead once the data is available.
2020-05-26 09:56:12 +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
Ines Montani
2250380816
Merge pull request #5482 from explosion/fix/backwards-compat-super 2020-05-21 21:51:46 +02:00
Ines Montani
891fa59009 Use backwards-compatible super() 2020-05-21 20:52:48 +02:00
svlandeg
51715b9f72 span / noun chunk has +1 because end is exclusive 2020-05-21 19:56:56 +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
svlandeg
f7d10da555 avoid unnecessary loop to check overlapping noun chunks 2020-05-21 19:15:57 +02:00
Ines Montani
24f72c669c Merge branch 'develop' into master-tmp 2020-05-21 18:39:06 +02:00
Matthew Honnibal
1f572ce89b
Merge pull request #5473 from explosion/fix/travis-tests
Fix Python 2.7 compat
2020-05-21 15:56:16 +02:00
Ines Montani
a9cb2882cb
Rename argument: doc_or_span/obj -> doclike (#5463)
* doc_or_span -> obj

* Revert "doc_or_span -> obj"

This reverts commit 78bb9ff5e0.

* obj -> doclike

* Refer to correct object
2020-05-21 15:17:39 +02:00
Ines Montani
bea863acd2 Fix naming conflict and formatting 2020-05-21 14:24:38 +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
svlandeg
b221bcf1ba fixing all languages 2020-05-21 00:17:28 +02:00
svlandeg
b509a3e7fc fix: use actual range in 'seen' instead of subtree 2020-05-20 23:06:39 +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
Ilkyu Ju
72a25c9cef
Very minor issues in Korean example sentences (#5446)
* Add contributor agreement

* Improve ko translation of example sentences

I fixed unnatural translations and word spacing errors.

* Update osori.md
2020-05-17 13:43:34 +02:00
adrianeboyd
f49e2810e6
Add Polish lemmatizer (#5413)
* Add Polish lemmatizer

Contributed by @ryszardtuora

* Add missing import
2020-05-14 18:23:19 +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
07639dd6ac
Remove TAG from da/sv tokenizer exceptions (#5428)
Remove `TAG` value from Danish and Swedish tokenizer exceptions because
it may not be included in a tag map (and these settings are problematic
as tokenizer exceptions anyway).
2020-05-13 10:25:54 +02:00
adrianeboyd
440b81bddc
Improve exceptions for 'd (would/had) in English (#5379)
Instead of treating `'d` in contractions like `I'd` as `would` in all
cases in the tokenizer exceptions, leave the tagging and lemmatization
up to later components.
2020-05-08 15:10:57 +02:00
adrianeboyd
c963e269ba
Add method to update / reset pkuseg user dict (#5404) 2020-05-08 11:21:46 +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
792c8af8cf Merge remote-tracking branch 'upstream/master' into bugfix/revert-token-match 2020-05-05 09:25:57 +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
Ines Montani
eac47971f1
Merge pull request #5258 from mirfan899/master 2020-04-29 12:51:55 +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
bf5c13d170
Modify jieba install message (#5328)
Modify jieba install message to instruct the user to use
`ChineseDefaults.use_jieba = False` so that it's possible to load
pkuseg-only models without jieba installed.
2020-04-20 22:06:53 +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
Sofie Van Landeghem
42364dcd9f
Remove "pala" tokenizer exception for Spanish (#5265) 2020-04-09 10:21:20 +02:00
adrianeboyd
c981aa6684
Use inline flags in token_match patterns (#5257)
* Use inline flags in token_match patterns

Use inline flags in `token_match` patterns so that serializing does not
lose the flag information.

* Modify inline flag

* Modify inline flag
2020-04-06 13:19:04 +02:00
adrianeboyd
e8be15e9b7
Improve tokenization for UD Spanish AnCora (#5253) 2020-04-06 13:18:23 +02:00
adrianeboyd
f4ef64a526
Improve tokenization for UD Dutch corpora (#5259)
* Improve tokenization for UD Dutch corpora

Improve tokenization for UD Dutch Alpino and LassySmall.

* Format Dutch tokenizer exceptions
2020-04-06 13:18:07 +02:00
Muhammad Irfan
406d5748b3 add missing Urdu tags 2020-04-05 20:55:38 +05:00
YohannesDatasci
beef184e53
Armenian language support (#5246)
* add Armenian language and test cases

* agreement submission
2020-04-03 13:02:18 +02:00
Jacob Lauritzen
0b76212831
Extend and fix Danish examples (#5227)
* Extend and fix Danish examples

This PR fixes two examples, adds additional examples translated from the english version, and adds punctuation.

The two changed examples are:
* "fortov" changed to "fortovet", which is more [used](https://www.google.com/search?client=firefox-b-d&sxsrf=ALeKk0143gEuPe4IbIUpzBBt-oU10OMVqA%3A1585549036477&ei=7I6BXuvJHMGOrwSqi46oCQ&q=l%C3%B8behjul+p%C3%A5+fortov&oq=l%C3%B8behjul+p%C3%A5+fortov&gs_lcp=CgZwc3ktYWIQAzIECAAQRzIECAAQRzIECAAQRzIECAAQRzIECAAQRzIECAAQRzIECAAQRzIECAAQR1DT8xZY0_MWYK_0FmgAcAZ4AIABAIgBAJIBAJgBAKABAaoBB2d3cy13aXo&sclient=psy-ab&ved=0ahUKEwjr7964xsHoAhVBx4sKHaqFA5UQ4dUDCAo&uact=5) and more natural. The Swedish and Norwegian examples also use this version of the word.
* "stor by" changed to "storby". In Danish we have a specific noun to describe a large, metropolitan city which is different from just describing a city as "large". In this sentence it would be much more natural to describe London as a "storby". Google even correct as search for "London stor by" to "London storby".

* Sign contrib agreement
2020-04-02 10:42:35 +02:00
Nikhil Saldanha
4f27a24f5b
Add kannada examples (#5162)
* Add example sentences for Kannada

* sign contributor agreement
2020-03-29 13:54:42 +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
adrianeboyd
1a944e5976
Improve Italian tokenization (#5204)
Improve Italian tokenization for UD_Italian-ISDT.
2020-03-25 11:28:02 +01:00
adrianeboyd
923a453449
Modifications/updates to Portuguese tokenization (#5203)
Modifications to Portuguese tokenization for UD_Portuguese-Bosque.
Instead of splitting contactions as exceptions, they are kept as merged
tokens.
2020-03-25 11:27:53 +01:00
adrianeboyd
4117a5c705
Improve French tokenization (#5202)
Improve French tokenization for UD_French-Sequoia.
2020-03-25 11:27:42 +01:00
Ines Montani
a3d09ffe61
Merge pull request #5201 from adrianeboyd/feature/ud-tokenization-nb-v2
Improved tokenization for UD_Norwegian-Bokmaal
2020-03-25 11:27:31 +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
79737adb90 Improved tokenization for UD_Norwegian-Bokmaal 2020-03-25 08:54:02 +01:00
Ines Montani
5f2afa0479
Merge pull request #5185 from adrianeboyd/bugfix/de-punctuation-style
Improve German tokenizer settings style
2020-03-24 16:38:32 +01:00
Adriane Boyd
2897a73559 Improve German tokenizer settings style 2020-03-23 19:23:47 +01:00
Baciccin
3b53617a69 Add Ligurian language 2020-03-19 21:37:01 -07:00
Adriane Boyd
1139247532 Revert changes to token_match priority from #4374
* Revert changes to priority of `token_match` so that it has priority
over all other tokenizer patterns

* Add lookahead and potentially slow lookbehind back to the default URL
pattern

* Expand character classes in URL pattern to improve matching around
lookaheads and lookbehinds related to #4882

* Revert changes to Hungarian tokenizer

* Revert (xfail) several URL tests to their status before #4374

* Update `tokenizer.explain()` and docs accordingly
2020-03-09 12:09:41 +01:00
Muhammad Irfan
224a7f8e94 examples 2020-03-04 15:49:06 +05:00
Muhammad Irfan
03376c9d9b Basque language added and tested. 2020-03-04 11:58:56 +05:00
Adriane Boyd
9f740a9891 Add a few more Danish tokenizer exceptions 2020-02-26 14:59:03 +01:00
Adriane Boyd
d1f703d78d Improve German tokenization
Improve German tokenization with respect to Tiger.
2020-02-26 13:06:52 +01:00
Ines Montani
d50152b917
Merge pull request #5019 from questoph/master
Optimizing tokenization for Luxembourgish (dealing with apostrophe infixes)
2020-02-25 14:48:50 +01:00
Sofie Van Landeghem
44f4142ce4
add two abbreviations and some additional unit tests (#5040) 2020-02-22 14:12:32 +01:00
adrianeboyd
2164e71ea8
Improved Romanian tokenization for UD RRT (#5036)
Modifications to Romanian tokenization to improve tokenization for
UD_Romanian-RRT.
2020-02-19 16:15:59 +01:00
Ines Montani
e3f40a6a0f Tidy up and auto-format 2020-02-18 15:38:18 +01:00
Ines Montani
1278161f47 Tidy up and fix issues 2020-02-18 15:17:03 +01:00
Ines Montani
de11ea753a Merge branch 'master' into develop 2020-02-18 14:47:23 +01:00
Jan Jessewitsch
c7e4fe9c5c
Fix/Improve german stop words (#5024)
* Fix german stop words

Two stop words ("einige" and  "einigen") are sticking together.
Remove three nouns that may serve as stop words in a specific context (e.g. religious or news) but are not applicable for general use.

* Create Jan-711.md
2020-02-17 18:59:22 +01:00
questoph
5352fc8fc3 Update tokenizer_exceptions.py 2020-02-14 12:02:15 +01:00
questoph
d1f0b397b5 Update punctuation.py 2020-02-13 22:18:51 +01:00
adrianeboyd
842dfddbb9
Standardize Greek tag map setup (#4997)
* Rename `tag_map.py` to `tag_map_fine.py` to indicate that it's not the
default tag map
* Remove duplicate generic UD tag map and load `../tag_map.py` instead
2020-02-11 17:44:56 -05:00
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
Filip Bednárik
d4f4060bf3
Add Slovak language tools implementation (#4943)
* Add correct stopwords for Slovak language

* Add SNK Tags

* Disable formatting lint for TAGS

* Add example sentences for Slovak language

* Add slovak numerals in base form

* Add lex_attrs to sk init

* Add contributor agreement
2020-02-03 13:03:59 +01:00
adrianeboyd
adc9745718 Modify morphology to support arbitrary features (#4932)
* Restructure tag maps for MorphAnalysis changes

Prepare tag maps for upcoming MorphAnalysis changes that allow
arbritrary features.

* Use default tag map rather than duplicating for ca / uk / vi

* Import tag map into defaults for ga

* Modify tag maps so all morphological fields and features are strings
  * Move features from `"Other"` to the top level
  * Rewrite tuples as strings separated by `","`

* Rewrite morph symbols for fr lemmatizer as strings

* Export MorphAnalysis under spacy.tokens

* Modify morphology to support arbitrary features

Modify `Morphology` and `MorphAnalysis` so that arbitrary features are
supported.

* Modify `MorphAnalysisC` so that it can support arbitrary features and
multiple values per field. `MorphAnalysisC` is redesigned to contain:
  * key: hash of UD FEATS string of morphological features
  * array of `MorphFeatureC` structs that each contain a hash of `Field`
and `Field=Value` for a given morphological feature, which makes it
possible to:
    * find features by field
    * represent multiple values for a given field

* `get_field()` is renamed to `get_by_field()` and is no longer `nogil`.
Instead a new helper function `get_n_by_field()` is `nogil` and returns
`n` features by field.

* `MorphAnalysis.get()` returns all possible values for a field as a
list of individual features such as `["Tense=Pres", "Tense=Past"]`.

* `MorphAnalysis`'s `str()` and `repr()` are the UD FEATS string.

* `Morphology.feats_to_dict()` converts a UD FEATS string to a dict
where:
  * Each field has one entry in the dict
  * Multiple values remain separated by a separator in the value string

* `Token.morph_` returns the UD FEATS string and you can set
`Token.morph_` with a UD FEATS string or with a tag map dict.

* Modify get_by_field to use np.ndarray

Modify `get_by_field()` to use np.ndarray. Remove `max_results` from
`get_n_by_field()` and always iterate over all the fields.

* Rewrite without MorphFeatureC

* Add shortcut for existing feats strings as keys

Add shortcut for existing feats strings as keys in `Morphology.add()`.

* Check for '_' as empty analysis when adding morphs

* Extend helper converters in Morphology

Add and extend helper converters that convert and normalize between:

* UD FEATS strings (`"Case=dat,gen|Number=sing"`)
* per-field dict of feats (`{"Case": "dat,gen", "Number": "sing"}`)
* list of individual features (`["Case=dat", "Case=gen",
"Number=sing"]`)

All converters sort fields and values where applicable.
2020-01-23 22:01:54 +01:00
adrianeboyd
d24bca62f6 Add CJK to character classes (#4884)
* Add CJK character class as uncased

* Incorporate Chinese URL test case

Un-xfail Chinese URL test instance
2020-01-08 16:50:19 +01:00
adrianeboyd
de69bc6509 Fix and improve URL pattern (#4882)
* match domains longer than `hostname.domain.tld` like `www.foo.co.uk`
* expand allowed characters in domain names while only matching
lowercase TLDs so that "this.That" isn't matched as a URL and can be
split on the period as an infix (relevant for at least English, German,
and Tatar)
2020-01-06 14:58:30 +01:00
Ines Montani
a892821c51 More formatting changes 2019-12-25 17:59:52 +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
Ines Montani
947dba7141 Merge branch 'master' into develop 2019-12-21 19:04:43 +01:00
Ines Montani
cb4145adc7 Tidy up and auto-format 2019-12-21 19:04:17 +01:00
Ines Montani
158b98a3ef Merge branch 'master' into develop 2019-12-21 18:55:03 +01:00
Olamilekan Wahab
a741de7cf6 Adding support for Yoruba Language (#4614)
* Adding Support for Yoruba

* test text

* Updated test string.

* Fixing encoding declaration.

* Adding encoding to stop_words.py

* Added contributor agreement and removed iranlowo.

* Added removed test files and removed iranlowo to keep project bare.

* Returned CONTRIBUTING.md to default state.

* Added delted conftest entries

* Tidy up and auto-format

* Revert CONTRIBUTING.md

Co-authored-by: Ines Montani <ines@ines.io>
2019-12-21 14:11:50 +01:00
Antti Ajanki
e626a011cc Improvements to the Finnish language data (#4738)
* Enable lex_attrs on Finnish

* Copy the Danish tokenizer rules to Finnish

Specifically, don't break hyphenated compound words

* Contributor agreement

* A new file for Finnish tokenizer rules instead of including the Danish ones
2019-12-03 12:55:28 +01:00
Christoph Purschke
a7ee4b6f17 new tests & tokenization fixes (#4734)
- added some tests for tokenization issues
- fixed some issues with tokenization of words with hyphen infix
- rewrote the "tokenizer_exceptions.py" file (stemming from the German version)
2019-12-01 23:08:21 +01:00
Jari Bakken
16cb19e960 update nb tag_map (#4711) 2019-11-25 21:26:26 +01:00
adrianeboyd
46250f60ac Add missing tags to el/es/pt tag maps (#4696)
* Add missing tags to pt tag map

* Add missing tags to es tag map

* Add missing tags to el tag map

* Add missing symbol in el tag map
2019-11-23 14:57:21 +01:00
Paul O'Leary McCann
f0e3e606a6 Replace python-mecab3 with fugashi for Japanese (#4621)
* Switch from mecab-python3 to fugashi

mecab-python3 has been the best MeCab binding for a long time but it's
not very actively maintained, and since it's based on old SWIG code
distributed with MeCab there's a limit to how effectively it can be
maintained.

Fugashi is a new Cython-based MeCab wrapper I wrote. Since it's not
based on the old SWIG code it's easier to keep it current and make small
deviations from the MeCab C/C++ API where that makes sense.

* Change mecab-python3 to fugashi in setup.cfg

* Change "mecab tags" to "unidic tags"

The tags come from MeCab, but the tag schema is specified by Unidic, so
it's more proper to refer to it that way.

* Update conftest

* Add fugashi link to external deps list for Japanese
2019-11-23 14:31:04 +01:00
Ines Montani
6e303de717 Auto-format 2019-11-20 13:15:24 +01:00
Elijah Rippeth
5ad5c4b44a Add initial Korean support (#4660)
* add hangul and jamo char classes.

* add initial Korean lexical attributes.

* add contributor agreement
2019-11-18 12:56:07 +01:00
Ines Montani
d64cfce546 Remove unnecessary newline replace 2019-11-15 16:19:01 +01:00
Christoph Purschke
433748e867 Fix basic language support for Luxembourgish (by adding punctuation.py) (#4648)
* Update __init__.py

* Create punctuation.py

* Update tokenizer_exceptions.py

* Create questoph.md

* Update questoph.md

* Update test_text.py

* Update test_text.py

* Update test_text.py

* Update test_text.py
2019-11-15 16:16:47 +01:00
adrianeboyd
faaa832518 Generalize handling of tokenizer special cases (#4259)
* Generalize handling of tokenizer special cases

Handle tokenizer special cases more generally by using the Matcher
internally to match special cases after the affix/token_match
tokenization is complete.

Instead of only matching special cases while processing balanced or
nearly balanced prefixes and suffixes, this recognizes special cases in
a wider range of contexts:

* Allows arbitrary numbers of prefixes/affixes around special cases
* Allows special cases separated by infixes

Existing tests/settings that couldn't be preserved as before:

* The emoticon '")' is no longer a supported special case
* The emoticon ':)' in "example:)" is a false positive again

When merged with #4258 (or the relevant cache bugfix), the affix and
token_match properties should be modified to flush and reload all
special cases to use the updated internal tokenization with the Matcher.

* Remove accidentally added test case

* Really remove accidentally added test

* Reload special cases when necessary

Reload special cases when affixes or token_match are modified. Skip
reloading during initialization.

* Update error code number

* Fix offset and whitespace in Matcher special cases

* Fix offset bugs when merging and splitting tokens
* Set final whitespace on final token in inserted special case

* Improve cache flushing in tokenizer

* Separate cache and specials memory (temporarily)
* Flush cache when adding special cases
* Repeated `self._cache = PreshMap()` and `self._specials = PreshMap()`
are necessary due to this bug:
https://github.com/explosion/preshed/issues/21

* Remove reinitialized PreshMaps on cache flush

* Update UD bin scripts

* Update imports for `bin/`
* Add all currently supported languages
* Update subtok merger for new Matcher validation
* Modify blinded check to look at tokens instead of lemmas (for corpora
with tokens but not lemmas like Telugu)

* Use special Matcher only for cases with affixes

* Reinsert specials cache checks during normal tokenization for special
cases as much as possible
  * Additionally include specials cache checks while splitting on infixes
  * Since the special Matcher needs consistent affix-only tokenization
    for the special cases themselves, introduce the argument
    `with_special_cases` in order to do tokenization with or without
    specials cache checks
* After normal tokenization, postprocess with special cases Matcher for
special cases containing affixes

* Replace PhraseMatcher with Aho-Corasick

Replace PhraseMatcher with the Aho-Corasick algorithm over numpy arrays
of the hash values for the relevant attribute. The implementation is
based on FlashText.

The speed should be similar to the previous PhraseMatcher. It is now
possible to easily remove match IDs and matches don't go missing with
large keyword lists / vocabularies.

Fixes #4308.

* Restore support for pickling

* Fix internal keyword add/remove for numpy arrays

* Add test for #4248, clean up test

* Improve efficiency of special cases handling

* Use PhraseMatcher instead of Matcher
* Improve efficiency of merging/splitting special cases in document
  * Process merge/splits in one pass without repeated token shifting
  * Merge in place if no splits

* Update error message number

* Remove UD script modifications

Only used for timing/testing, should be a separate PR

* Remove final traces of UD script modifications

* Update UD bin scripts

* Update imports for `bin/`
* Add all currently supported languages
* Update subtok merger for new Matcher validation
* Modify blinded check to look at tokens instead of lemmas (for corpora
with tokens but not lemmas like Telugu)

* Add missing loop for match ID set in search loop

* Remove cruft in matching loop for partial matches

There was a bit of unnecessary code left over from FlashText in the
matching loop to handle partial token matches, which we don't have with
PhraseMatcher.

* Replace dict trie with MapStruct trie

* Fix how match ID hash is stored/added

* Update fix for match ID vocab

* Switch from map_get_unless_missing to map_get

* Switch from numpy array to Token.get_struct_attr

Access token attributes directly in Doc instead of making a copy of the
relevant values in a numpy array.

Add unsatisfactory warning for hash collision with reserved terminal
hash key. (Ideally it would change the reserved terminal hash and redo
the whole trie, but for now, I'm hoping there won't be collisions.)

* Restructure imports to export find_matches

* Implement full remove()

Remove unnecessary trie paths and free unused maps.

Parallel to Matcher, raise KeyError when attempting to remove a match ID
that has not been added.

* Switch to PhraseMatcher.find_matches

* Switch to local cdef functions for span filtering

* Switch special case reload threshold to variable

Refer to variable instead of hard-coded threshold

* Move more of special case retokenize to cdef nogil

Move as much of the special case retokenization to nogil as possible.

* Rewrap sort as stdsort for OS X

* Rewrap stdsort with specific types

* Switch to qsort

* Fix merge

* Improve cmp functions

* Fix realloc

* Fix realloc again

* Initialize span struct while retokenizing

* Temporarily skip retokenizing

* Revert "Move more of special case retokenize to cdef nogil"

This reverts commit 0b7e52c797.

* Revert "Switch to qsort"

This reverts commit a98d71a942.

* Fix specials check while caching

* Modify URL test with emoticons

The multiple suffix tests result in the emoticon `:>`, which is now
retokenized into one token as a special case after the suffixes are
split off.

* Refactor _apply_special_cases()

* Use cdef ints for span info used in multiple spots

* Modify _filter_special_spans() to prefer earlier

Parallel to #4414, modify _filter_special_spans() so that the earlier
span is preferred for overlapping spans of the same length.

* Replace MatchStruct with Entity

Replace MatchStruct with Entity since the existing Entity struct is
nearly identical.

* Replace Entity with more general SpanC

* Replace MatchStruct with SpanC

* Add error in debug-data if no dev docs are available (see #4575)

* Update azure-pipelines.yml

* Revert "Update azure-pipelines.yml"

This reverts commit ed1060cf59.

* Use latest wasabi

* Reorganise install_requires

* add dframcy to universe.json (#4580)

* Update universe.json [ci skip]

* Fix multiprocessing for as_tuples=True (#4582)

* Fix conllu script (#4579)

* force extensions to avoid clash between example scripts

* fix arg order and default file encoding

* add example config for conllu script

* newline

* move extension definitions to main function

* few more encodings fixes

* Add load_from_docbin example [ci skip]

TODO: upload the file somewhere

* Update README.md

* Add warnings about 3.8 (resolves #4593) [ci skip]

* Fixed typo: Added space between "recognize" and "various" (#4600)

* Fix DocBin.merge() example (#4599)

* Replace function registries with catalogue (#4584)

* Replace functions registries with catalogue

* Update __init__.py

* Fix test

* Revert unrelated flag [ci skip]

* Bugfix/dep matcher issue 4590 (#4601)

* add contributor agreement for prilopes

* add test for issue #4590

* fix on_match params for DependencyMacther (#4590)

* Minor updates to language example sentences (#4608)

* Add punctuation to Spanish example sentences

* Combine multilanguage examples for lang xx

* Add punctuation to nb examples

* Always realloc to a larger size

Avoid potential (unlikely) edge case and cymem error seen in #4604.

* Add error in debug-data if no dev docs are available (see #4575)

* Update debug-data for GoldCorpus / Example

* Ignore None label in misaligned NER data
2019-11-13 21:24:35 +01:00