Merge pull request #1414 from yuukos/master

Adding Russian language support
This commit is contained in:
Ines Montani 2017-10-13 17:03:52 +02:00 committed by GitHub
commit 4b5af8bd17
9 changed files with 302 additions and 7 deletions

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# spaCy contributor agreement
This spaCy Contributor Agreement (**"SCA"**) is based on the
[Oracle Contributor Agreement](http://www.oracle.com/technetwork/oca-405177.pdf).
The SCA applies to any contribution that you make to any product or project
managed by us (the **"project"**), and sets out the intellectual property rights
you grant to us in the contributed materials. The term **"us"** shall mean
[ExplosionAI UG (haftungsbeschränkt)](https://explosion.ai/legal). The term
**"you"** shall mean the person or entity identified below.
If you agree to be bound by these terms, fill in the information requested
below and include the filled-in version with your first pull request, under the
folder [`.github/contributors/`](/.github/contributors/). The name of the file
should be your GitHub username, with the extension `.md`. For example, the user
example_user would create the file `.github/contributors/example_user.md`.
Read this agreement carefully before signing. These terms and conditions
constitute a binding legal agreement.
## Contributor Agreement
1. The term "contribution" or "contributed materials" means any source code,
object code, patch, tool, sample, graphic, specification, manual,
documentation, or any other material posted or submitted by you to the project.
2. With respect to any worldwide copyrights, or copyright applications and
registrations, in your contribution:
* you hereby assign to us joint ownership, and to the extent that such
assignment is or becomes invalid, ineffective or unenforceable, you hereby
grant to us a perpetual, irrevocable, non-exclusive, worldwide, no-charge,
royalty-free, unrestricted license to exercise all rights under those
copyrights. This includes, at our option, the right to sublicense these same
rights to third parties through multiple levels of sublicensees or other
licensing arrangements;
* you agree that each of us can do all things in relation to your
contribution as if each of us were the sole owners, and if one of us makes
a derivative work of your contribution, the one who makes the derivative
work (or has it made will be the sole owner of that derivative work;
* you agree that you will not assert any moral rights in your contribution
against us, our licensees or transferees;
* you agree that we may register a copyright in your contribution and
exercise all ownership rights associated with it; and
* you agree that neither of us has any duty to consult with, obtain the
consent of, pay or render an accounting to the other for any use or
distribution of your contribution.
3. With respect to any patents you own, or that you can license without payment
to any third party, you hereby grant to us a perpetual, irrevocable,
non-exclusive, worldwide, no-charge, royalty-free license to:
* make, have made, use, sell, offer to sell, import, and otherwise transfer
your contribution in whole or in part, alone or in combination with or
included in any product, work or materials arising out of the project to
which your contribution was submitted, and
* at our option, to sublicense these same rights to third parties through
multiple levels of sublicensees or other licensing arrangements.
4. Except as set out above, you keep all right, title, and interest in your
contribution. The rights that you grant to us under these terms are effective
on the date you first submitted a contribution to us, even if your submission
took place before the date you sign these terms.
5. You covenant, represent, warrant and agree that:
* Each contribution that you submit is and shall be an original work of
authorship and you can legally grant the rights set out in this SCA;
* to the best of your knowledge, each contribution will not violate any
third party's copyrights, trademarks, patents, or other intellectual
property rights; and
* each contribution shall be in compliance with U.S. export control laws and
other applicable export and import laws. You agree to notify us if you
become aware of any circumstance which would make any of the foregoing
representations inaccurate in any respect. We may publicly disclose your
participation in the project, including the fact that you have signed the SCA.
6. This SCA is governed by the laws of the State of California and applicable
U.S. Federal law. Any choice of law rules will not apply.
7. Please place an “x” on one of the applicable statement below. Please do NOT
mark both statements:
* [x] I am signing on behalf of myself as an individual and no other person
or entity, including my employer, has or will have rights with respect my
contributions.
* [ ] I am signing on behalf of my employer or a legal entity and I have the
actual authority to contractually bind that entity.
## Contributor Details
| Field | Entry |
|------------------------------- | -------------------- |
| Name | Alexey Kim |
| Company name (if applicable) | |
| Title or role (if applicable) | |
| Date | 13-12-2017 |
| GitHub username | yuukos |
| Website (optional) | |

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# Other # Other
*.tgz *.tgz
# JetBrains PyCharm
.idea/

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This is a list of everyone who has made significant contributions to spaCy, in alphabetical order. Thanks a lot for the great work! This is a list of everyone who has made significant contributions to spaCy, in alphabetical order. Thanks a lot for the great work!
* Adam Bittlingmayer, [@bittlingmayer](https://github.com/bittlingmayer) * Adam Bittlingmayer, [@bittlingmayer](https://github.com/bittlingmayer)
* Alexey Kim, [@yuukos](https://github.com/yuukos)
* Alexis Eidelman, [@AlexisEidelman](https://github.com/AlexisEidelman) * Alexis Eidelman, [@AlexisEidelman](https://github.com/AlexisEidelman)
* Andreas Grivas, [@andreasgrv](https://github.com/andreasgrv) * Andreas Grivas, [@andreasgrv](https://github.com/andreasgrv)
* Andrew Poliakov, [@pavlin99th](https://github.com/pavlin99th) * Andrew Poliakov, [@pavlin99th](https://github.com/pavlin99th)

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@ -7,13 +7,13 @@ from .cli.info import info
from .glossary import explain from .glossary import explain
from .about import __version__ from .about import __version__
from . import en, de, zh, es, it, hu, fr, pt, nl, sv, fi, bn, he, nb, ja,th from . import en, de, zh, es, it, hu, fr, pt, nl, sv, fi, bn, he, nb, ja,th, ru
_languages = (en.English, de.German, es.Spanish, pt.Portuguese, fr.French, _languages = (en.English, de.German, es.Spanish, pt.Portuguese, fr.French,
it.Italian, hu.Hungarian, zh.Chinese, nl.Dutch, sv.Swedish, it.Italian, hu.Hungarian, zh.Chinese, nl.Dutch, sv.Swedish,
fi.Finnish, bn.Bengali, he.Hebrew, nb.Norwegian, ja.Japanese, fi.Finnish, bn.Bengali, he.Hebrew, nb.Norwegian, ja.Japanese,
th.Thai) th.Thai, ru.Russian)
for _lang in _languages: for _lang in _languages:

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# encoding: utf8
from __future__ import unicode_literals, print_function
from ..language import Language
from ..attrs import LANG
from ..tokens import Doc
from .language_data import *
class RussianTokenizer(object):
_morph = None
def __init__(self, spacy_tokenizer, cls, nlp=None):
try:
from pymorphy2 import MorphAnalyzer
except ImportError:
raise ImportError(
"The Russian tokenizer requires the pymorphy2 library: "
"try to fix it with "
"pip install pymorphy2==0.8")
RussianTokenizer._morph = RussianTokenizer._create_morph(MorphAnalyzer)
self.vocab = nlp.vocab if nlp else cls.create_vocab(nlp)
self._spacy_tokenizer = spacy_tokenizer
def __call__(self, text):
words = [self._normalize(RussianTokenizer._get_word(token))
for token in self._spacy_tokenizer(text)]
return Doc(self.vocab, words, [False] * len(words))
@staticmethod
def _get_word(token):
return token.lemma_ if len(token.lemma_) > 0 else token.text
@classmethod
def _normalize(cls, word):
return cls._morph.parse(word)[0].normal_form
@classmethod
def _create_morph(cls, morph_analyzer_class):
if not cls._morph:
cls._morph = morph_analyzer_class()
return cls._morph
class RussianDefaults(Language.Defaults):
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
lex_attr_getters[LANG] = lambda text: 'ru'
tokenizer_exceptions = TOKENIZER_EXCEPTIONS
stop_words = STOP_WORDS
@classmethod
def create_tokenizer(cls, nlp=None):
tokenizer = super(RussianDefaults, cls).create_tokenizer(nlp)
return RussianTokenizer(tokenizer, cls, nlp)
class Russian(Language):
lang = 'ru'
Defaults = RussianDefaults

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# encoding: utf8
from __future__ import unicode_literals
from .. import language_data as base
from ..language_data import update_exc, strings_to_exc
from .stop_words import STOP_WORDS
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
STOP_WORDS = set(STOP_WORDS)
TOKENIZER_EXCEPTIONS = dict(TOKENIZER_EXCEPTIONS)
update_exc(TOKENIZER_EXCEPTIONS, strings_to_exc(base.EMOTICONS))
__all__ = ["STOP_WORDS", "TOKENIZER_EXCEPTIONS"]

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# encoding: utf8
from __future__ import unicode_literals
STOP_WORDS = set("""
а
будем будет будете будешь буду будут будучи будь будьте бы был была были было
быть
в вам вами вас весь во вот все всё всего всей всем всём всеми всему всех всею
всея всю вся вы
да для до
его едим едят ее её ей ел ела ем ему емъ если ест есть ешь еще ещё ею
же
за
и из или им ими имъ их
к как кем ко когда кого ком кому комья которая которого которое которой котором
которому которою которую которые который которым которыми которых кто
меня мне мной мною мог моги могите могла могли могло могу могут мое моё моего
моей моем моём моему моею можем может можете можешь мои мой моим моими моих
мочь мою моя мы
на нам нами нас наса наш наша наше нашего нашей нашем нашему нашею наши нашим
нашими наших нашу не него нее неё ней нем нём нему нет нею ним ними них но
о об один одна одни одним одними одних одно одного одной одном одному одною
одну он она оне они оно от
по при
с сам сама сами самим самими самих само самого самом самому саму свое своё
своего своей своем своём своему своею свои свой своим своими своих свою своя
себе себя собой собою
та так такая такие таким такими таких такого такое такой таком такому такою
такую те тебе тебя тем теми тех то тобой тобою того той только том томах тому
тот тою ту ты
у уже
чего чем чём чему что чтобы
эта эти этим этими этих это этого этой этом этому этот этою эту
я
""".split())

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# encoding: utf8
from __future__ import unicode_literals
from ..symbols import *
TOKENIZER_EXCEPTIONS = {
"Пн.": [
{ORTH: "Пн.", LEMMA: "Понедельник"}
],
"Вт.": [
{ORTH: "Вт.", LEMMA: "Вторник"}
],
"Ср.": [
{ORTH: "Ср.", LEMMA: "Среда"}
],
"Чт.": [
{ORTH: "Чт.", LEMMA: "Четверг"}
],
"Пт.": [
{ORTH: "Пт.", LEMMA: "Пятница"}
],
"Сб.": [
{ORTH: "Сб.", LEMMA: "Суббота"}
],
"Вс.": [
{ORTH: "Вс.", LEMMA: "Воскресенье"}
],
}

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@ -16,7 +16,7 @@ from ..bn import Bengali
from ..he import Hebrew from ..he import Hebrew
from ..nb import Norwegian from ..nb import Norwegian
from ..th import Thai from ..th import Thai
from ..ru import Russian
from ..tokens import Doc from ..tokens import Doc
from ..strings import StringStore from ..strings import StringStore
@ -53,6 +53,7 @@ def en_vocab():
def en_parser(): def en_parser():
return English.Defaults.create_parser() return English.Defaults.create_parser()
@pytest.fixture @pytest.fixture
def es_tokenizer(): def es_tokenizer():
return Spanish.Defaults.create_tokenizer() return Spanish.Defaults.create_tokenizer()
@ -83,11 +84,13 @@ def ja_tokenizer():
pytest.importorskip("MeCab") pytest.importorskip("MeCab")
return Japanese.Defaults.create_tokenizer() return Japanese.Defaults.create_tokenizer()
@pytest.fixture @pytest.fixture
def japanese(): def japanese():
pytest.importorskip("MeCab") pytest.importorskip("MeCab")
return Japanese() return Japanese()
@pytest.fixture @pytest.fixture
def sv_tokenizer(): def sv_tokenizer():
return Swedish.Defaults.create_tokenizer() return Swedish.Defaults.create_tokenizer()
@ -102,15 +105,30 @@ def bn_tokenizer():
def he_tokenizer(): def he_tokenizer():
return Hebrew.Defaults.create_tokenizer() return Hebrew.Defaults.create_tokenizer()
@pytest.fixture @pytest.fixture
def nb_tokenizer(): def nb_tokenizer():
return Norwegian.Defaults.create_tokenizer() return Norwegian.Defaults.create_tokenizer()
@pytest.fixture @pytest.fixture
def th_tokenizer(): def th_tokenizer():
pythainlp = pytest.importorskip("pythainlp") pythainlp = pytest.importorskip("pythainlp")
return Thai.Defaults.create_tokenizer() return Thai.Defaults.create_tokenizer()
@pytest.fixture
def ru_tokenizer():
pytest.importorskip("pymorphy2")
return Russian.Defaults.create_tokenizer()
@pytest.fixture
def russian():
pytest.importorskip("pymorphy2")
return Russian()
@pytest.fixture @pytest.fixture
def stringstore(): def stringstore():
return StringStore() return StringStore()
@ -130,6 +148,7 @@ def lemmatizer():
def text_file(): def text_file():
return StringIO() return StringIO()
@pytest.fixture @pytest.fixture
def text_file_b(): def text_file_b():
return BytesIO() return BytesIO()