Meaning of Jieba participle part of speech tagging

Part of speech tagging of stuttering participles

The default mode is to use jieba.posseg.cut(), Include 24 POS Tags （ Lowercase letters ）.
paddle There are more patterns 4 Proper name category labels （ Capital ）.

• jieba.posseg.POSTokenizer(tokenizer=None) Create a new custom word splitter ,tokenizer Parameter to specify the internal use of jieba.Tokenizer Word segmentation is .jieba.posseg.dt Label the word breaker for the default part of speech .
• Mark the part of speech of each word after sentence segmentation , Adopt and ictclas Compatible notation .
• except jieba Default segmentation mode , Provide paddle Part of speech tagging function under the mode .paddle The mode uses delayed loading , adopt enable_paddle() install paddlepaddle-tiny, also import Related codes ;
• Usage examples

>>> import jieba
>>> import jieba.posseg as pseg
>>> words = pseg.cut(" I love tian 'anmen square in Beijing ") #jieba The default mode 
>>> jieba.enable_paddle() # start-up paddle Pattern . 0.40 We started to support , Earlier versions did not support 
>>> words = pseg.cut(" I love tian 'anmen square in Beijing ",use_paddle=True) #paddle Pattern 
>>> for word, flag in words:
...    print('%s %s' % (word, flag))
...
 I  r
 Love  v
 Beijing  ns
 The tiananmen square  ns

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