mirror of https://github.com/explosion/spaCy.git
44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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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 .tag_map import TAG_MAP
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from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
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from .punctuation import TOKENIZER_INFIXES, TOKENIZER_SUFFIXES
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from .lemmatizer import DutchLemmatizer
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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 ...lookups import Lookups
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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 DutchDefaults(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: "nl"
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lex_attr_getters[NORM] = add_lookups(
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Language.Defaults.lex_attr_getters[NORM], BASE_NORMS
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)
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tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
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stop_words = STOP_WORDS
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tag_map = TAG_MAP
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infixes = TOKENIZER_INFIXES
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suffixes = TOKENIZER_SUFFIXES
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@classmethod
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def create_lemmatizer(cls, nlp=None, lookups=None):
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if lookups is None:
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lookups = Lookups()
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return DutchLemmatizer(lookups)
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class Dutch(Language):
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lang = "nl"
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Defaults = DutchDefaults
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__all__ = ["Dutch"]
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