mirror of
https://github.com/explosion/spaCy.git
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61 lines
1.7 KiB
Python
61 lines
1.7 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 .tag_map import TAG_MAP
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from .stop_words import STOP_WORDS
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from .norm_exceptions import NORM_EXCEPTIONS
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from .lex_attrs import LEX_ATTRS
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from ..norm_exceptions import BASE_NORMS
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from ...attrs import LANG, NORM
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from ...language import Language
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from ...tokens import Doc
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from ...util import DummyTokenizer, add_lookups
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class ThaiTokenizer(DummyTokenizer):
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def __init__(self, cls, nlp=None):
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try:
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from pythainlp.tokenize import word_tokenize
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except ImportError:
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raise ImportError(
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"The Thai tokenizer requires the PyThaiNLP library: "
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"https://github.com/PyThaiNLP/pythainlp"
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)
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self.word_tokenize = word_tokenize
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self.vocab = nlp.vocab if nlp is not None else cls.create_vocab(nlp)
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def __call__(self, text):
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words = list(self.word_tokenize(text))
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spaces = [False] * len(words)
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return Doc(self.vocab, words=words, spaces=spaces)
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class ThaiDefaults(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: "th"
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lex_attr_getters[NORM] = add_lookups(
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Language.Defaults.lex_attr_getters[NORM], BASE_NORMS, NORM_EXCEPTIONS
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)
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tokenizer_exceptions = dict(TOKENIZER_EXCEPTIONS)
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tag_map = TAG_MAP
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stop_words = STOP_WORDS
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@classmethod
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def create_tokenizer(cls, nlp=None):
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return ThaiTokenizer(cls, nlp)
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class Thai(Language):
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lang = "th"
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Defaults = ThaiDefaults
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def make_doc(self, text):
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return self.tokenizer(text)
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__all__ = ["Thai"]
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