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20 lines
928 B
Text
20 lines
928 B
Text
Snowball stemming algorithms, for information retrieval
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Stemming algorithms
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PyStemmer provides access to efficient algorithms for calculating a
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"stemmed" form of a word. This is a form with most of the common
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morphological endings removed; hopefully representing a common
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linguistic base form. This is most useful in building search
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engines and information retrieval software; for example, a search
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with stemming enabled should be able to find a document containing
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"cycling" given the query "cycles".
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PyStemmer provides algorithms for several (mainly european) languages,
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by wrapping the libstemmer library from the Snowball project in a
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Python module.
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It also provides access to the classic Porter stemming algorithm for
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english: although this has been superceded by an improved algorithm,
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the original algorithm may be of interest to information retrieval
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researchers wishing to reproduce results of earlier experiments.
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