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although this has been superceded by an improved algorithm, the original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

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

Homepage:
http://snowball.tartarus.org/

Source Downloads:
PyStemmer-1.3.0.tar.gz (46ee623eeeba5a7cc0d95cbfa7e18abd)

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

(the SlackBuild does not include the source)

Individual Files:
PyStemmer.SlackBuild
PyStemmer.info
README
slack-desc

Validated for Slackware 14.2

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