Snowball stemming algorithms, for information retrieval
Stemming algorithms
python3-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".
python3-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english: although this has been superceded by an improved algorithm,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: fourtysixandtwo
Keywords: PyStemmer,python,stemmer
ChangeLog: python3-PyStemmer
Homepage:
https://github.com/snowballstem/pystemmer/
Download SlackBuild:
python3-PyStemmer.tar.gz
python3-PyStemmer.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
| Individual Files: |
| README |
| python3-PyStemmer.SlackBuild |
| python3-PyStemmer.info |
| slack-desc |
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