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Snowball stemming algorithms, for information retrieval

Project Description

Stemming algorithms

PyStemmer provides access to efficient algorithms for calculating a “stemmed” form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing “cycling” given the query “cycles”.

PyStemmer provides algorithms for several (mainly european) languages, by wrapping the libstemmer library from the Snowball project in a Python module.

It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.

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This version
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1.3.0

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1.2.0

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1.1.0

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1.0.1

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1.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
PyStemmer-1.3.0.tar.gz (360.1 kB) Copy SHA256 hash SHA256 Source None Feb 25, 2013

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