mirror of https://github.com/explosion/spaCy.git
75 lines
2.1 KiB
Python
75 lines
2.1 KiB
Python
# encoding: utf8
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from __future__ import unicode_literals, print_function
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from ...language import Language
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from ...attrs import LANG
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from ...tokens import Doc
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from ...tokenizer import Tokenizer
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class JapaneseTokenizer(object):
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def __init__(self, cls, nlp=None):
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self.vocab = nlp.vocab if nlp is not None else cls.create_vocab(nlp)
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try:
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from janome.tokenizer import Tokenizer
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except ImportError:
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raise ImportError("The Japanese tokenizer requires the Janome "
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"library: https://github.com/mocobeta/janome")
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self.tokenizer = Tokenizer()
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def __call__(self, text):
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words = [x.surface for x in self.tokenizer.tokenize(text)]
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return Doc(self.vocab, words=words, spaces=[False]*len(words))
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# add dummy methods for to_bytes, from_bytes, to_disk and from_disk to
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# allow serialization (see #1557)
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def to_bytes(self, **exclude):
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return b''
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def from_bytes(self, bytes_data, **exclude):
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return self
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def to_disk(self, path, **exclude):
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return None
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def from_disk(self, path, **exclude):
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return self
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class JapaneseCharacterSegmenter(object):
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def __init__(self, vocab):
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self.vocab = vocab
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def __call__(self, text):
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words = []
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spaces = []
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doc = self.tokenizer(text)
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for token in self.tokenizer(text):
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words.extend(list(token.text))
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spaces.extend([False]*len(token.text))
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spaces[-1] = bool(token.whitespace_)
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return Doc(self.vocab, words=words, spaces=spaces)
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class JapaneseDefaults(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: 'ja'
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use_janome = True
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@classmethod
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def create_tokenizer(cls, nlp=None):
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if cls.use_janome:
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return JapaneseTokenizer(cls, nlp)
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else:
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return JapaneseCharacterSegmenter(cls, nlp.vocab)
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class Japanese(Language):
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lang = 'ja'
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Defaults = JapaneseDefaults
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def make_doc(self, text):
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return self.tokenizer(text)
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__all__ = ['Japanese']
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