Metadata-Version: 2.1
Name: mecab-python3
Version: 0.996.3
Summary: Python wrapper for the MeCab morphological analyzer for Japanese
Home-page: https://github.com/SamuraiT/mecab-python3
Maintainer: Tatsuro Yasukawa
Maintainer-email: t.yasukawa01@gmail.com
License: BSD
Description: This is a Python wrapper for the [MeCab][] morphological analyzer for
        Japanese text.  It works with Python 3.4 and greater, as well as
        Python 2.7.
        
        [MeCab]: https://taku910.github.io/mecab/
        
        # Basic usage
        
        ```py
        >>> import MeCab
        >>> wakati = MeCab.Tagger("-Owakati")
        >>> wakati.parse("pythonが大好きです").split()
        ['python', 'が', '大好き', 'です']
        
        >>> chasen = MeCab.Tagger("-Ochasen")
        >>> print(chasen.parse("pythonが大好きです"))
        python　python　　python　名詞-固有名詞-組織
        が　　　ガ　　　　が　　　助詞-格助詞-一般
        大好き　ダイスキ　大好き　名詞-形容動詞語幹
        です　　デス　　　です　　助動詞　特殊・デス　基本形
        EOS
        ```
        
        The API for `mecab-python3` closely follows the API for MeCab itself,
        even when this makes it not very “Pythonic.”  Please consult the MeCab
        documentation for more information.
        
        # Installation
        
        Binary wheels are available for MacOS X and Linux, and are installed
        by default when you use `pip`:
        
        ```sh
        pip install mecab-python3
        ```
        
        These wheels include an internal (statically linked) copy of the MeCab
        library, and a copy of the [`mecab-ipadic`][ipadic] dictionary (using
        UTF-8 text encoding), which is automatically used by default.  If you
        wish to use a different dictionary, you will need to install it
        yourself, write a `mecabrc` file directing MeCab to use it, and set
        the environment variable `MECABRC` to point to this file.
        
        To build from source using pip,
        
        ```sh
        pip install --no-binary :all: mecab-python3
        ```
        
        Alternatively, you can use pip to download the source, then build it
        by hand:
        
        ```sh
        pip download --no-binary :all: mecab-python3
        tar zxf mecab-python3-{version}.tar.gz
        cd mecab-python3-{version}
        python3 setup.py build
        # install as you like
        ```
        
        When the module is built from source, it requires the system to
        provide the MeCab library and at least one dictionary.  You must have
        [SWIG][], the MeCab library and headers, and a dictionary installed
        before running `pip install` or `setup.py build`.  For instance, on
        Debian-based Linux,
        
        ```sh
        sudo apt-get install swig libmecab-dev mecab-ipadic-utf8
        ```
        
        Building wheels with a bundled library and dictionary is only
        supported in a sanitized CI environment.  Consult the scripts in the
        `scripts` subdirectory of the source tree to see how it’s done.
        
        [ipadic]: https://github.com/taku910/mecab/tree/master/mecab-ipadic
        [SWIG]: http://www.swig.org/
        
        # Licensing
        
        Like MeCab itself, `mecab-python3` is copyrighted free software by
        Taku Kudo <taku@chasen.org> and Nippon Telegraph and Telephone Corporation,
        and is distributed under a 3-clause BSD license (see the file `BSD`).
        Alternatively, it may be redistributed under the terms of the
        GNU General Public License, version 2 (see the file `GPL`) or the
        GNU Lesser General Public License, version 2.1 (see the file `LGPL`).
Platform: UNKNOWN
Classifier: Development Status :: 6 - Mature
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: Japanese
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: Linguistic
Classifier: License :: OSI Approved :: BSD License
Description-Content-Type: text/markdown
