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Contents of README:Snowball stemming algorithms, for information retrieval 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 It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments. |
Name Last modified Size
Parent Directory - PyStemmer-2.0.1.tar.gz 27-May-2022 18:49 546K PyStemmer.SlackBuild 11-Mar-2022 06:34 3.0K PyStemmer.info 27-May-2022 18:49 360 README 27-May-2022 18:49 928 slack-desc 27-May-2022 18:49 1.1K
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