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A fork of PyStemmer with pure wheels

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Stemming algorithms

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It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.

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snowball_stemmer_wheels-0.1.0rc1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (647.5 kB view details)

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snowball_stemmer_wheels-0.1.0rc1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (643.2 kB view details)

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snowball_stemmer_wheels-0.1.0rc1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (629.8 kB view details)

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snowball_stemmer_wheels-0.1.0rc1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (619.9 kB view details)

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