The textproc/py-stemmer port
py3-stemmer-2.2.0.1p4 – snowball stemming algorithms, for information retrieval (cvsweb github mirror)
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 It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier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.WWW: https://pypi.python.org/pypi/PyStemmer
Maintainer
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