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A Python wrapper around the NLPIR/ICTCLAS Chinese segmentation software.

Project description

PyNLPIR is a Python wrapper around the NLPIR/ICTCLAS Chinese segmentation software.


Easily segment text using NLPIR, one of the most widely-regarded Chinese text analyzers:

import pynlpir

s = '欢迎科研人员、技术工程师、企事业单位与个人参与NLPIR平台的建设工作。'

[('欢迎', 'verb'), ('科研', 'noun'), ('人员', 'noun'), ('、', 'punctuation mark'), ('技术', 'noun'), ('工程师', 'noun'), ('、', 'punctuation mark'), ('企事业', 'noun'), ('单位', 'noun'), ('与', 'conjunction'), ('个人', 'noun'), ('参与', 'verb'), ('NLPIR', 'noun'), ('平台', 'noun'), ('的', 'particle'), ('建设', 'verb'), ('工作', 'verb'), ('。', 'punctuation mark')]


  • Helper functions for common use cases

  • English/Chinese part of speech mapping

  • Support for UTF-8, GBK, and BIG5 encoded strings (and unicode of course!)

  • Access to NLPIR’s C functions via ctypes

  • No third-party dependencies (PyNLPIR includes a copy of NLPIR)

  • Runs on Python 2.7 and 3

  • Supports Linux and Windows (no OS X support until NLPIR supports it)

Getting Started

Change Log

0.1.2 (2014-05-01)

  • Adds version information to

  • Adds Travis CI configuration information.

  • Reformats README.rst.

  • Adds documentation about contributing.

  • Fixes #2. Fixes segmenting text with whitespace.

  • Fixes #3. Fixes _encode()/_decode default encoding error.

0.1.1 (2014-04-07)

  • Fixes installation problem with package data.

0.1.0 (2014-04-07)

  • Initial release.

Project details

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PyNLPIR-0.1.2.tar.gz (12.5 MB view hashes)

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