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15.0 > Python > PyStemmer (

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english: although this has been superceded by an improved algorithm,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.

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


Source Downloads:
PyStemmer- (d3359dabf9370fcb75770a8c688bdeb5)
libstemmer_c-2.2.0.tar.gz (a0add7c0ebdd8d18872a31199bf37f4d)

Download SlackBuild:
PyStemmer.tar.gz.asc (FAQ)

(the SlackBuild does not include the source)

Individual Files:

Validated for Slackware 15.0

See our HOWTO for instructions on how to use the contents of this repository.

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