mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-26 09:56:28 +03:00
39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
# coding: utf8
|
|
from __future__ import unicode_literals
|
|
|
|
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
|
|
from .tag_map import TAG_MAP
|
|
from .stop_words import STOP_WORDS
|
|
|
|
from ..tokenizer_exceptions import BASE_EXCEPTIONS
|
|
from ...tokens import Doc
|
|
from ..norm_exceptions import BASE_NORMS
|
|
from ...language import Language
|
|
from ...attrs import LANG, NORM
|
|
from ...util import update_exc, add_lookups
|
|
|
|
|
|
class ThaiDefaults(Language.Defaults):
|
|
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
|
|
lex_attr_getters[LANG] = lambda text: 'th'
|
|
tokenizer_exceptions = dict(TOKENIZER_EXCEPTIONS)
|
|
tag_map = TAG_MAP
|
|
stop_words = STOP_WORDS
|
|
|
|
|
|
class Thai(Language):
|
|
lang = 'th'
|
|
Defaults = ThaiDefaults
|
|
|
|
def make_doc(self, text):
|
|
try:
|
|
from pythainlp.tokenize import word_tokenize
|
|
except ImportError:
|
|
raise ImportError("The Thai tokenizer requires the PyThaiNLP library: "
|
|
"https://github.com/wannaphongcom/pythainlp/")
|
|
words = [x for x in list(word_tokenize(text,"newmm"))]
|
|
return Doc(self.vocab, words=words, spaces=[False]*len(words))
|
|
|
|
|
|
__all__ = ['Thai']
|