mirror of https://github.com/explosion/spaCy.git
47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
# encoding: utf8
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from __future__ import unicode_literals, print_function
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from os import path
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from ..language import Language
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from . import language_data
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from .. import util
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from ..lemmatizer import Lemmatizer
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from ..vocab import Vocab
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from ..tokenizer import Tokenizer
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from ..attrs import LANG
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from ..language_data import update_exc
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from ..language_data import strings_to_exc
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from ..language_data import EMOTICONS
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from .language_data import ORTH_ONLY
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from .language_data import get_time_exc
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TOKENIZER_EXCEPTIONS = dict(language_data.TOKENIZER_EXCEPTIONS)
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TOKENIZER_PREFIXES = tuple(language_data.TOKENIZER_PREFIXES)
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TOKENIZER_SUFFIXES = tuple(language_data.TOKENIZER_SUFFIXES)
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TOKENIZER_INFIXES = tuple(language_data.TOKENIZER_INFIXES)
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TAG_MAP = dict(language_data.TAG_MAP)
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STOP_WORDS = set(language_data.STOP_WORDS)
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update_exc(TOKENIZER_EXCEPTIONS, strings_to_exc(EMOTICONS))
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update_exc(TOKENIZER_EXCEPTIONS, strings_to_exc(ORTH_ONLY))
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update_exc(TOKENIZER_EXCEPTIONS, get_time_exc(range(1, 12 + 1)))
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class English(Language):
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lang = 'en'
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class Defaults(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: 'en'
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tokenizer_exceptions = TOKENIZER_EXCEPTIONS
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prefixes = TOKENIZER_PREFIXES
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suffixes = TOKENIZER_SUFFIXES
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infixes = TOKENIZER_INFIXES
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tag_map = TAG_MAP
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stop_words = STOP_WORDS
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