mirror of https://github.com/explosion/spaCy.git
42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS, TOKEN_MATCH
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from .punctuation import TOKENIZER_SUFFIXES, TOKENIZER_INFIXES
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from .stop_words import STOP_WORDS
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from .lex_attrs import LEX_ATTRS
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from .lemmatizer import LOOKUP
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from .syntax_iterators import SYNTAX_ITERATORS
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from ..tokenizer_exceptions import BASE_EXCEPTIONS
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from ..norm_exceptions import BASE_NORMS
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from ...language import Language
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from ...lemmatizerlookup import Lemmatizer
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from ...attrs import LANG, NORM
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from ...util import update_exc, add_lookups
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class FrenchDefaults(Language.Defaults):
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lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
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lex_attr_getters.update(LEX_ATTRS)
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lex_attr_getters[LANG] = lambda text: 'fr'
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lex_attr_getters[NORM] = add_lookups(Language.Defaults.lex_attr_getters[NORM], BASE_NORMS)
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tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
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stop_words = set(STOP_WORDS)
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infixes = tuple(TOKENIZER_INFIXES)
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suffixes = tuple(TOKENIZER_SUFFIXES)
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token_match = TOKEN_MATCH
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syntax_iterators = dict(SYNTAX_ITERATORS)
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@classmethod
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def create_lemmatizer(cls, nlp=None):
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return Lemmatizer(LOOKUP)
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class French(Language):
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lang = 'fr'
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Defaults = FrenchDefaults
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__all__ = ['French']
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