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14.2 > Python > PyStemmer (1.3.0)

Snowball stemming algorithms, for information retrieval

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although this has been superceded by an improved algorithm, the original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.

This requires: python3-Cython

Maintained by: Nikos Giotis
Keywords: PyStemmer,python,stemmer
ChangeLog: PyStemmer