mirror of https://github.com/explosion/spaCy.git
35 lines
1.0 KiB
Python
35 lines
1.0 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
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from .stop_words import STOP_WORDS
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from .morph_rules import MORPH_RULES
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from .lemmatizer import LEMMA_RULES, LOOKUP
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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 SwedishDefaults(Language.Defaults):
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lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
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lex_attr_getters[LANG] = lambda text: 'sv'
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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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@classmethod
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def create_lemmatizer(cls, nlp=None):
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return Lemmatizer(LOOKUP)
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class Swedish(Language):
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lang = 'sv'
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Defaults = SwedishDefaults
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__all__ = ['Swedish']
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