Commit Graph

778 Commits

Author SHA1 Message Date
Adriane Boyd
6b7bb32834 Refactor Chinese initialization 2020-09-30 11:46:45 +02:00
Ines Montani
34f9c26c62 Add lexeme norm defaults 2020-09-30 10:20:14 +02:00
Ines Montani
fa47f87924 Tidy up and auto-format 2020-09-29 21:39:28 +02:00
Ines Montani
6467a560e3 WIP: Test updating Chinese tokenizer 2020-09-29 21:10:22 +02:00
Ines Montani
4f3102d09c Auto-format 2020-09-29 21:09:10 +02:00
Ines Montani
c3f8c09d7d
Merge pull request #6154 from adrianeboyd/bugfix/chinese-tokenizer-pickle 2020-09-29 20:54:59 +02:00
Adriane Boyd
013b66de05
Add tokenizer scoring to ja / ko / zh (#6152) 2020-09-27 22:20:45 +02:00
Adriane Boyd
8393dbedad Minor fixes
* Put `cfg` back in serialization
* Add `pickle5` to pytest conf
2020-09-27 15:15:53 +02:00
Adriane Boyd
54fe871935 Fix formatting, refactor pickle5 exceptions 2020-09-27 14:37:28 +02:00
Adriane Boyd
11e195d3ed Update ChineseTokenizer
* Allow `pkuseg_model` to be set to `None` on initialization
* Don't save config within tokenizer
* Force convert pkuseg_model to use pickle protocol 4 by reencoding with
`pickle5` on serialization
* Update pkuseg serialization test
2020-09-27 14:00:18 +02:00
Ines Montani
ae51f580c1 Fix handling of score_weights 2020-09-24 10:27:33 +02:00
Muhammad Fahmi Rasyid
7489d02dea
Update Indonesian Example Phrases (#6124)
* create contributor agreement

* Update Indonesian example. (see  #1107)

Update Indonesian examples with more proper phrases. the current phrases contains sensitive and violent words.
2020-09-23 14:02:26 +02:00
Ines Montani
f976bab710 Remove empty file [ci skip] 2020-09-23 09:30:09 +02:00
Adriane Boyd
9b4979407d
Fix overlapping German noun chunks (#6112)
Add a similar fix as in #5470 to prevent the German noun chunks iterator
from producing overlapping spans.
2020-09-22 21:52:42 +02:00
Adriane Boyd
7e4cd7575c
Refactor Docs.is_ flags (#6044)
* Refactor Docs.is_ flags

* Add derived `Doc.has_annotation` method

  * `Doc.has_annotation(attr)` returns `True` for partial annotation

  * `Doc.has_annotation(attr, require_complete=True)` returns `True` for
    complete annotation

* Add deprecation warnings to `is_tagged`, `is_parsed`, `is_sentenced`
and `is_nered`

* Add `Doc._get_array_attrs()`, which returns a full list of `Doc` attrs
for use with `Doc.to_array`, `Doc.to_bytes` and `Doc.from_docs`. The
list is the `DocBin` attributes list plus `SPACY` and `LENGTH`.

Notes on `Doc.has_annotation`:

* `HEAD` is converted to `DEP` because heads don't have an unset state

* Accept `IS_SENT_START` as a synonym of `SENT_START`

Additional changes:

* Add `NORM`, `ENT_ID` and `SENT_START` to default attributes for
`DocBin`

* In `Doc.from_array()` the presence of `DEP` causes `HEAD` to override
`SENT_START`

* In `Doc.from_array()` using `attrs` other than
`Doc._get_array_attrs()` (i.e., a user's custom list rather than our
default internal list) with both `HEAD` and `SENT_START` shows a warning
that `HEAD` will override `SENT_START`

* `set_children_from_heads` does not require dependency labels to set
sentence boundaries and sets `sent_start` for all non-sentence starts to
`-1`

* Fix call to set_children_form_heads

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-09-17 00:14:01 +02:00
Adriane Boyd
87c329c711
Set rule-based lemmatizers as default (#6076)
For languages without provided models and with lemmatizer rules in
`spacy-lookups-data`, make the rule-based lemmatizer the default:
Bengali, Persian, Norwegian, Swedish
2020-09-16 17:37:29 +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
holubvl3
0a27fca557
Create examples.py (#5985)
* Create examples.py

* Create tag_map.py

* Delete tag_map.py

* Update examples.py

formatting: add empty line

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
2020-09-04 11:00:14 +02:00
Adriane Boyd
b97d98783a
Fix Hungarian % tokenization (#6013) 2020-09-02 13:06:16 +02:00
Adriane Boyd
7d7b65ffd4
Fix raw strings in URL pattern (#5972)
Add missing raw string specifiers.
2020-08-26 04:00:49 +02:00
Hiroshi Matsuda
332803eda9
fix ja leading spaces (#5969)
* change condition for space after

* add NAUGHTY_STRINGS test example
2020-08-25 14:16:24 +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
Adriane Boyd
abd3f2b65a
Rename Polish lemmatizer method (#5960)
Rename Polish lemmatizer method to `pos_lookup` to distinguish it from
pure token-based lookup methods.
2020-08-25 00:22:27 +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
holubvl3
a341b4ef09
Adding support for Czech language (#5826)
* 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

Co-authored-by: Vladimír Holubec <vholubec@arcdata.cz>
2020-08-21 16:17:53 +02:00
Ines Montani
3eaeb73342 Tidy up and auto-format 2020-08-09 22:36:23 +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
56c17973aa Use "raise ... from" in custom errors for better tracebacks 2020-08-05 23:53:21 +02:00
Adriane Boyd
cd59979ab4
Fix span boundary handling in Spanish noun_chunks (#5860) 2020-08-03 13:53:15 +02:00
Rahul Gupta
f76fae0e8d
English: adds ordinal numbers (#5830) 2020-07-29 20:22:47 +02:00
oculusrepairo
03ab518f28
Update examples.py (#5820)
* Update examples.py

adding factual sentences to the list

* Add missing comma separators

Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
2020-07-29 10:28:56 +02:00
Ines Montani
49f27a2a7b Tidy up [ci skip] 2020-07-25 13:00:49 +02:00
Ines Montani
4a0a692875 Add missing lex_attr_getters (resolves #5806 ) 2020-07-25 12:55:18 +02:00
Ines Montani
38f6ea7a78 Simplify language data and revert detailed configs 2020-07-24 14:50:26 +02:00
Joshua Olson
6d4d5c074c
Mark Japanese documents as tagged. (#5803)
Mark the document as tagged before returning it to the user from the JapaneseTokenizer.
Fixes #5802
2020-07-23 08:57:01 +02:00
Ines Montani
87737a5a60 Tidy up 2020-07-23 00:16:23 +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
Adriane Boyd
bf24f7f672
Update invalid tag maps (#5796)
* Remove copy of (old?) PTB tag map for: bn, eu
* Remove unsupported features from: hy, pl, ro, ru
2020-07-22 16:02:51 +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
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
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
cd5af72c9a
Update pkuseg version (#5774)
* Update pkuseg version in Chinese tokenizer warnings
* Update pkuseg version in `Makefile`
* Remove warning about python3.8 wheels in docs
2020-07-19 11:09:49 +02:00
Adriane Boyd
d83e3c44c5 Remove corpus-specific morph rules
* Remove corpus-specific morph rules
* Add options similar to tag maps to provide them in the `train` and
`debug-data` CLIs
2020-07-15 19:44:18 +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
Adriane Boyd
0a62098c5f
Fix lemmatizer is_base_form for python2.7 (#5734)
* Fix lemmatizer init args for python2.7

* Move English is_base_form to a class method

* Skip test pickling PhraseMatcher for python2
2020-07-09 22:11:24 +02:00
Adriane Boyd
923affd091
Remove is_base_form from French lemmatizer (#5733)
Remove English-specific is_base_form from French lemmatizer.
2020-07-09 22:11:13 +02:00
Mike Izbicki
7a2ca00794
fix bug in Korean language, resulting in 100x speedup by reducing overhead of mecab (#5701)
* speed up Korean nlp 100x by stopping mecab from reloading on each doc

* add contributor agreement

* rename variables to improve code readability
2020-07-06 17:03:33 +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
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
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
Karen Hambardzumyan
66a4834e56
Some changes for Armenian (#5616)
* Fixing numericals

* We need a Armenian question sign to make the sentence a question
2020-06-22 08:50:34 +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
Marat M. Yavrumyan
8120b641cc
Update lex_attrs.py (#5608) 2020-06-19 20:00:34 +02:00
Arvind Srinivasan
aa5b40fa64
Added Tamil Example Sentences (#5583)
* Added Examples for Tamil Sentences

#### Description
This PR add example sentences for the Tamil language which were missing as per issue #1107 

#### Type of Change
This is an enhancement.

* Accepting spaCy Contributor Agreement

* Signed on my behalf as an individual
2020-06-13 15:56:26 +02:00
adrianeboyd
556895177e
Expand Japanese requirements warning (#5572)
Include explicit install instructions in Japanese requirements warning.
2020-06-11 13:47:37 +02:00
Jones Martins
bab30e4ad2
Add "c'mon" token exception (#5570)
* Add "c'mon" exception

* Fix typo in "C'mon" exception
2020-06-10 21:54:06 +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
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