Snowball stemming algorithms, for information retrieval.
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 It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
released on 25 February 2013
|License||Verified by||Verified on||Notes|
|License:Expat||Kelly Hopkins||1 October 2009|
|License:BSD 3Clause||Kelly Hopkins||1 October 2009|
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This entry (in part or in whole) was last reviewed on 19 February 2017.
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