shibukawa / Snowball_py
Programming Languages
Snowball stemming library collection for Python
This document pertains to the Python version of the stemmer library distribution, available for download from:
-
https://github.com/shibukawa/snowball/
This repository includes Python source code generator
-
https://github.com/shibukawa/snowball_python/
This repository includes generated Python source codes
Original program is maintained at following place:
Original Snowball product created by Dr Martin Porter and Richard Boulton (Java porting). Original Snowball and my products are released under BSD license.
How to use library
The snowballstemmer
module has two functions.
The snowballstemmer.algorithms
function returns a list of avilable algorithm name' string.
The snowballstemmer.stemmer
function accepts algorithm name and returns Stemmer
objects.
Stemmer
objects have Stemmer.stemWord(word)
method and Stemmer.stemWords(word[])
method.
.. code-block:: python
import snowballstemmer
stemmer = snowballstemmer.stemmer('english'); print(stemmer.stemWords("We are the world".split()));
Stemmer
objects have Stemmer.maxCacheSize
property. They cache result within the value. Default is 10000
.
Accerarates Stemming
if PyStemmer is installed, snowballstemmer.stemmer
returns PyStemmer
\ 's Stemmer
objects. This Stemmer
object has same methods (Stemmer.stemWord()
, Stemmer.stemWords()
).
PyStemmer is a Snowball's libstemmer_c
wrapper module and it returns 100% compatible result with snowballstemmer.
PyStemmer has faster speed because it uses C-lang module, and snowballstemmer has higher usability because it is pure Python module.
-
PyStemmer <http://pypi.python.org/pypi/PyStemmer/>
_
Benchmark
Test Case: Snowball stemmer check data (16 algorithms, total 582560 words, cache hit 0%)
Computer: MacBook Pro 3rd Gen Corei7 2.3GHz
* Python 2.7 + **snowballstemmer** : 2m 30s
* PyPy 1.9 + **snowballstemmer** : 45s
* Python 2.7 + **PyStemmer** : 5s
This test case is much harder than usual usecases!
The TestApp example
-------------------
The ``testapp.py`` example program allows you to run any of the stemmers
on a sample vocabulary.
Usage::
testapp.py <algorithm> "sentences ... "
.. code-block:: bash
$ python testapp.py English "sentences... "
Thanks
-------
* Original Snowball authors
* Emil Stenström
License
-------
It is a BSD licensed library.
-----------------------------
Copyright (c) 2013, Yoshiki Shibukawa
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided
that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this list of conditions and
the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice, this list of conditions
and the following disclaimer in the documentation and/or other materials provided with the distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS
BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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