explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2025-07-08 05:43:08 +03:00
Code Issues Packages Projects Releases Wiki Activity

Add Chinese.Defaults.use_jieba setting, for UD

Browse Source
This commit is contained in:
Matthew Honnibal 2018-02-25 15:12:38 +01:00
parent 9ccd0c643b
commit 9b406181cd
2 changed files with 24 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
examples/training/conllu.py
View File

@ -26,6 +26,10 @@ import cytoolz
import conll17_ud_eval import conll17_ud_eval
import spacy.lang.zh
spacy.lang.zh.Chinese.Defaults.use_jieba = False
random.seed(0) random.seed(0)
numpy.random.seed(0) numpy.random.seed(0)

28
spacy/lang/zh/__init__.py
View File

@ -9,6 +9,7 @@ from ...tokens import Doc
class ChineseDefaults(Language.Defaults): class ChineseDefaults(Language.Defaults):
lex_attr_getters = dict(Language.Defaults.lex_attr_getters) lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
lex_attr_getters[LANG] = lambda text: 'zh' # for pickling lex_attr_getters[LANG] = lambda text: 'zh' # for pickling
use_jieba = True
class Chinese(Language): class Chinese(Language):
@ -16,14 +17,25 @@ class Chinese(Language):
Defaults = ChineseDefaults # override defaults Defaults = ChineseDefaults # override defaults
def make_doc(self, text): def make_doc(self, text):
try: if self.Defaults.use_jieba:
import jieba try:
except ImportError: import jieba
raise ImportError("The Chinese tokenizer requires the Jieba library: " except ImportError:
"https://github.com/fxsjy/jieba") msg = ("Jieba not installed. Either set Chinese.use_jieba = False, "
words = list(jieba.cut(text, cut_all=False)) "or install it https://github.com/fxsjy/jieba")
words = [x for x in words if x] raise ImportError(msg)
return Doc(self.vocab, words=words, spaces=[False]*len(words)) words = list(jieba.cut(text, cut_all=False))
words = [x for x in words if x]
return Doc(self.vocab, words=words, spaces=[False]*len(words))
else:
words = []
spaces = []
doc = self.tokenizer(text)
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)
__all__ = ['Chinese'] __all__ = ['Chinese']