pystemmer 2.0.1_1
textproc/py-pystemmer
Snowball Stemming Algorithms for Information Retrieval
Description
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 It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
Dependencies
- build devel/py-setuptools
- build lang/cython
- build lang/python311
- run lang/python311
Commit History
may be incomplete — full history at freebsd-ports on GitHub
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