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"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 It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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: http://pypi.python.org/pypi/PyStemmer/ PR: ports/132695 Submitted by: Wen Heping <wenheping at gmail.com>
3 lines
202 B
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3 lines
202 B
Text
MD5 (PyStemmer-1.0.1.tar.gz) = 5fb09517161de1792b2fc1fd8844038b
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SHA256 (PyStemmer-1.0.1.tar.gz) = 08f0d64e7c49b77cb0f44937c25a04ed17ea1b9db3d830d47a02d2717ae89ebe
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SIZE (PyStemmer-1.0.1.tar.gz) = 331212
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