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Coding Makes the Life Easier

Project description

Documentation Status


Coding makes the life easier. This is a factory contains commonly used algorithms and useful links.


Available online documents: latest and develop.


Install oujago using pip:

$> pip install oujago

Install from source code:

$> python clean --all install


Natural Language Processing

Hanzi Converter
>>> from oujago.nlp import FJConvert
>>> FJConvert.to_tradition('繁简转换器')
>>> FJConvert.to_simplify('繁簡轉換器')
Chinese Segment

Support jieba, LTP etc. public segmentation methods, and support moran segmentation just for internal use.

>>> from oujago.nlp import seg
>>> seg("这是一个伸手不见五指的黑夜。")
['这是', '一个', '伸手不见五指', '的', '黑夜', '。']
>>> seg("这是一个伸手不见五指的黑夜。", mode='ltp')
['这', '是', '一个', '伸手', '不', '见', '五', '指', '的', '黑夜', '。']
>>> seg('我不喜欢日本和服', mode='jieba')
['我', '不', '喜欢', '日本', '和服']
>>> seg('我不喜欢日本和服', mode='ltp')
['我', '不', '喜欢', '日本', '和服']
>>> from oujago.nlp.postag import pos
>>> pos('我不喜欢日本和服', mode='jieba')
['r', 'd', 'v', 'ns', 'nz']
>>> pos('我不喜欢日本和服', mode='ltp')
['r', 'd', 'v', 'ns', 'n']

Change Log

0.1.9 (2017.07.06)
  • NLP moran NER

  • NLP thulac segment

  • NLP thulac postag

0.1.8 (2017.06.26)
  • NLP moran segment

  • NLP moran postag

0.1.7 (2017.06.20)
  • NLP jieba segment

  • NLP LTP segment

  • NLP jieba POSTag



  • NLP LTP Dependecy Parse

  • NLP LTP Semantic Role Labeling

0.1.6 (2017.06.19)
  • Hanzi Converter

  • Chinese Stopwords

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oujago-0.1.9.tar.gz (35.8 kB view hashes)

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