mirror of
https://github.com/explosion/spaCy.git
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54 lines
1.9 KiB
Python
54 lines
1.9 KiB
Python
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# coding: utf8
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from __future__ import unicode_literals
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from ...attrs import LANG, NORM
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from ..norm_exceptions import BASE_NORMS
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from ...language import Language
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from ...tokens import Doc
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from .stop_words import STOP_WORDS
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from ...util import update_exc, add_lookups
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from .lex_attrs import LEX_ATTRS
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#from ..tokenizer_exceptions import BASE_EXCEPTIONS
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#from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
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class VietnameseDefaults(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: 'vi' # for pickling
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# add more norm exception dictionaries here
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lex_attr_getters[NORM] = add_lookups(Language.Defaults.lex_attr_getters[NORM], BASE_NORMS)
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# overwrite functions for lexical attributes
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lex_attr_getters.update(LEX_ATTRS)
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# merge base exceptions and custom tokenizer exceptions
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#tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
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stop_words = STOP_WORDS
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use_pyvi = True
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class Vietnamese(Language):
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lang = 'vi'
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Defaults = VietnameseDefaults # override defaults
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def make_doc(self, text):
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if self.Defaults.use_pyvi:
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try:
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from pyvi import ViTokenizer
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except ImportError:
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msg = ("Pyvi not installed. Either set Vietnamese.use_pyvi = False, "
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"or install it https://pypi.python.org/pypi/pyvi")
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raise ImportError(msg)
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words, spaces = ViTokenizer.spacy_tokenize(text)
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return Doc(self.vocab, words=words, spaces=spaces)
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else:
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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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__all__ = ['Vietnamese']
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