pymmseg-cpp is a Python interface to rmmseg-cpp. rmmseg-cpp is a high performance Chinese word segmentation utility for Ruby. However, the core part is written in C++ independent of Ruby. So I decide to write a Python interface for it in order to use it in my Python project.
pymmseg-cpp provides a simple script (bin/pymmseg), which can read the text from standard input and print the segmented result to standard output. Try pymmseg -h for help on the options.
To use pymmseg-cpp in normal Python program, first import the module and init by loading the dictionaries:
import mmseg mmseg.Dictionary.load_dictionaries()
If you want to load your own customized dictionaries, please customize
mmseg.Dictionary.dictionaries before calling load_dictionaries.
Then create an Algorithm iterable object and iterate through it:
algor = mmseg.Algorithm(text) for tok in algor: print '%s [%d..%d]' % (tok.text, tok.start, tok.end)
You can also load your own character dictionary or word dictionary in the following way:
import mmseg mmseg.Dictionary.load_words('customize_words.dic') mmseg.Dictionary.load_chars('customize_chars.dic')
pymmseg-cpp should be installed using pip:
pip install pymmseg (instead of pymmseg-cpp, see below)
You can also download the latest code from github and build it yourself:
python setup.py build
Then copy the pymmseg directory to your Python's package path. e.g.
/usr/lib/python2.5/site-packages/. Now you can use pymmseg in your
There is a package called
pymmseg-cpp in PyPI. That is a modified version by Shenpeng Zhang (firstname.lastname@example.org) based on an earlier version of this project. The version number in those two packages are independent. The naming is a little confusing, and unfortunately both of us don't have enough time to get the changes merged properly. I'll list the known differences here so that you can choose which version to use:
Python native extension code contributed by German M. Bravo (Kronuz) for a ~400% performance boost under Python.
(The MIT License)
Copyright (c) 2012
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