Metadata-Version: 1.1
Name: mecabwrap
Version: 0.3.1
Summary: Yet another interface to MeCab morphological analyzer
Home-page: https://github.com/kota7/mecabwrap-py
Author: Kota Mori
Author-email: kmori05@gmail.com
License: UNKNOWN
Download-URL: https://github.com/kota7/mecabwrap-py/archive/0.1.5.tar.gz
Description: 
        
        mecabwrap
        =========
        
        .. image:: https://travis-ci.org/kota7/mecabwrap-py.svg?branch=master
            :target: https://travis-ci.org/kota7/mecabwrap-py
        .. image:: https://ci.appveyor.com/api/projects/status/oidn1rfte6u8kavs/branch/master?svg=true
            :target: https://ci.appveyor.com/project/kota7/mecabwrap-py/branch/master
        .. image:: https://badge.fury.io/py/mecabwrap.svg
            :target: https://badge.fury.io/py/mecabwrap
        
        **mecabwrap** is yet another Python interface to `MeCab Morphological
        Analyzer <http://taku910.github.io/mecab/>`__.
        
        Its goal is to provide intuitive APIs that work on Unix and Windows machines seamlessly.
        
        Requirement
        -----------
        
        -  Python 2.7+ or 3.4+ (May also work on older versions)
        -  MeCab 0.996
        
        Installation
        ------------
        
        1. Install MeCab
        ~~~~~~~~~~~~~~~~
        
        **Ubuntu**
        
        .. code:: bash
        
            $ sudo apt-get install mecab libmecab-dev mecab-ipadic-utf8
        
        **Mac OSX**
        
        .. code:: bash
        
            $ brew install mecab mecab-ipadic
        
        **Windows**
        
        Download and run the
        `installer <https://drive.google.com/uc?export=download&id=0B4y35FiV1wh7WElGUGt6ejlpVXc>`__.
        
        See also: `official website <http://taku910.github.io/mecab/#install>`__
        
        2. Install this Package
        ~~~~~~~~~~~~~~~~~~~~~~~
        
        Install from PyPI
        
        .. code:: bash
        
            $ pip install mecabwrap
            
        or, from GitHub
        
        .. code:: bash
        
            $ git clone --depth 1 https://github.com/kota7/mecabwrap-py.git
            $ cd mecabwrap-py
            $ pip install -U .
        
        Quick Check
        -----------
        
        Following command will print the MeCab version. Otherwise, you do not
        have MeCab installed or MeCab is not on the search path.
        
        .. code:: bash
        
            $ mecab -v
            # should print `mecab of 0.996` or similar.
        
        
        To verify that the package is successfully installed, try the following:
        
        .. code:: bash
        
            $ python
        
        .. code:: python
        
            >>> from mecabwrap import tokenize
            >>> for token in tokenize(u"すもももももももものうち"): 
            ...     print(token)
            ... 
            すもも 名詞,一般,*,*,*,*,すもも,スモモ,スモモ
            も   助詞,係助詞,*,*,*,*,も,モ,モ
            もも  名詞,一般,*,*,*,*,もも,モモ,モモ
            も   助詞,係助詞,*,*,*,*,も,モ,モ
            もも  名詞,一般,*,*,*,*,もも,モモ,モモ
            の   助詞,連体化,*,*,*,*,の,ノ,ノ
            うち  名詞,非自立,副詞可能,*,*,*,うち,ウチ,ウチ
        
        
        Usage
        -----
        
        See the `example notebook <https://github.com/kota7/mecabwrap-py/blob/master/notebook/mecabwrap%20-%20Python%20Interface%20to%20MeCab%20for%20Unix%20and%20Windows.ipynb>`__ (or a cleaner version on `nbviewer <https://nbviewer.jupyter.org/github/kota7/mecabwrap-py/blob/master/notebook/mecabwrap%20-%20Python%20Interface%20to%20MeCab%20for%20Unix%20and%20Windows.ipynb>`__) for more detail.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Natural Language :: Japanese
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
