spaCy/spacy/lang/vi/__init__.py

69 lines
1.9 KiB
Python

from thinc.api import Config
from ...language import Language
from ...tokens import Doc
from .stop_words import STOP_WORDS
from ...util import DummyTokenizer, registry
from .lex_attrs import LEX_ATTRS
DEFAULT_CONFIG = """
[nlp]
[nlp.tokenizer]
@tokenizers = "spacy.vi.VietnameseTokenizer"
use_pyvi = true
"""
@registry.tokenizers("spacy.vi.VietnameseTokenizer")
def create_vietnamese_tokenizer(use_pyvi: bool = True,):
def vietnamese_tokenizer_factory(nlp):
return VietnameseTokenizer(nlp, use_pyvi=use_pyvi)
return vietnamese_tokenizer_factory
class VietnameseTokenizer(DummyTokenizer):
def __init__(self, nlp: Language, use_pyvi: bool = False):
self.vocab = nlp.vocab
self.use_pyvi = use_pyvi
if self.use_pyvi:
try:
from pyvi import ViTokenizer
self.ViTokenizer = ViTokenizer
except ImportError:
msg = (
"Pyvi not installed. Either set use_pyvi = False, "
"or install it https://pypi.python.org/pypi/pyvi"
)
raise ImportError(msg)
def __call__(self, text: str) -> Doc:
if self.use_pyvi:
words, spaces = self.ViTokenizer.spacy_tokenize(text)
return Doc(self.vocab, words=words, spaces=spaces)
else:
words = []
spaces = []
for token in self.tokenizer(text):
words.extend(list(token.text))
spaces.extend([False] * len(token.text))
spaces[-1] = bool(token.whitespace_)
return Doc(self.vocab, words=words, spaces=spaces)
class VietnameseDefaults(Language.Defaults):
config = Config().from_str(DEFAULT_CONFIG)
lex_attr_getters = LEX_ATTRS
stop_words = STOP_WORDS
class Vietnamese(Language):
lang = "vi"
Defaults = VietnameseDefaults
__all__ = ["Vietnamese"]