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ece30c28a8
This way, the tokenizer matches the tokenization in German treebanks
43 lines
1.3 KiB
Python
43 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
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from .norm_exceptions import NORM_EXCEPTIONS
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from .punctuation import TOKENIZER_INFIXES
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from .tag_map import TAG_MAP
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from .stop_words import STOP_WORDS
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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 GermanDefaults(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: 'de'
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lex_attr_getters[NORM] = add_lookups(Language.Defaults.lex_attr_getters[NORM],
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NORM_EXCEPTIONS, BASE_NORMS)
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tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
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infixes = tuple(TOKENIZER_INFIXES)
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tag_map = dict(TAG_MAP)
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stop_words = set(STOP_WORDS)
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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 German(Language):
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lang = 'de'
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Defaults = GermanDefaults
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__all__ = ['German']
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