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 It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments
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3 lines
118 B
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SHA256 (PyStemmer-1.3.0.tar.gz) = 0awU62SXjBaX/PunbjrH6+JDV8lCjndTkPY0ZIlHy5E=
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SIZE (PyStemmer-1.3.0.tar.gz) = 360102
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