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https://github.com/explosion/spaCy.git
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69 lines
1.9 KiB
Python
69 lines
1.9 KiB
Python
from thinc.api import Config
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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 DummyTokenizer, registry
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from .lex_attrs import LEX_ATTRS
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DEFAULT_CONFIG = """
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[nlp]
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[nlp.tokenizer]
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@tokenizers = "spacy.vi.VietnameseTokenizer"
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use_pyvi = true
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"""
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@registry.tokenizers("spacy.vi.VietnameseTokenizer")
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def create_vietnamese_tokenizer(use_pyvi: bool = True,):
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def vietnamese_tokenizer_factory(nlp):
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return VietnameseTokenizer(nlp, use_pyvi=use_pyvi)
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return vietnamese_tokenizer_factory
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class VietnameseTokenizer(DummyTokenizer):
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def __init__(self, nlp: Language, use_pyvi: bool = False):
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self.vocab = nlp.vocab
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self.use_pyvi = use_pyvi
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if self.use_pyvi:
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try:
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from pyvi import ViTokenizer
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self.ViTokenizer = ViTokenizer
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except ImportError:
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msg = (
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"Pyvi not installed. Either set use_pyvi = False, "
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"or install it https://pypi.python.org/pypi/pyvi"
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)
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raise ImportError(msg) from None
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def __call__(self, text: str) -> Doc:
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if self.use_pyvi:
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words, spaces = self.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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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 VietnameseDefaults(Language.Defaults):
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config = Config().from_str(DEFAULT_CONFIG)
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lex_attr_getters = LEX_ATTRS
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stop_words = STOP_WORDS
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class Vietnamese(Language):
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lang = "vi"
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Defaults = VietnameseDefaults
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__all__ = ["Vietnamese"]
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