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english: although this has been superceded by an improved algorithm,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