Metadata-Version: 1.1
Name: PyNLPIR
Version: 0.1.1
Summary: A Python wrapper around the NLPIR/ICTCLAS Chinese segmentation software.
Home-page: https://github.com/tsroten/pynlpir
Author: Thomas Roten
Author-email: thomas@roten.us
License: UNKNOWN
Description: PyNLPIR
        =======
        
        PyNLPIR is a Python wrapper around the
        `NLPIR/ICTCLAS Chinese segmentation software <http://nlpir.org>`_.
        
        Easily segment text using NLPIR, one of the most widely-regarded Chinese text
        analyzers:
        
        .. code:: python
        
            import pynlpir
            pynlpir.open()
        
            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。'
            pynlpir.segment(s)
        
            [('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')]
        
        Features
        --------
        
        * 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
        
        Install
        -------
        
        NLPIR supports Windows and GNU/Linux. PyNLPIR will install, but not run, on other
        platforms (e.g. OS X).
        
        Just use `pip <http://www.pip-installer.org/>`_:
        
        .. code:: bash
        
            $ pip install pynlpir
        
        That's it! Everything is shipped with PyNLPIR -- there are no external dependencies.
        
        Documentation
        -------------
        
        PyNLPIR has `documentation <http://pynlpir.readthedocs.org>`_. It features an
        installation guide, tutorial, and API reference.
        
        Support
        -------
        
        If you encounter a bug, have a feature request, or need help using PyNLPIR, then use
        `PyNLPIR's GitHub Issues page <https://github.com/tsroten/pynlpir/issues>`_ to
        get in touch.
        
        License
        -------
        
        PyNLPIR is released under the OSI-approved
        `MIT License <http://opensource.org/licenses/MIT>`_. See the file ``LICENSE.txt``
        for more information. This license doesn't apply to the included copies of NLPIR's
        data directory and shared libraries.
        
Keywords: nlpir,ictclas,chinese,segmentation,nlp
Platform: win32
Platform: win64
Platform: linux32
Platform: linux64
Classifier: Programming Language :: Python
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: Chinese (Simplified)
Classifier: Natural Language :: Chinese (Traditional)
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Education
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Topic :: Software Development :: Libraries :: Python Modules
