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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 It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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>
17 lines
894 B
Plaintext
17 lines
894 B
Plaintext
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 engines
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and information retrieval software; for example, a search with stemming
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enabled should be able to find a document containing "cycling" given the
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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 Python
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module. It also provides access to the classic Porter stemming algorithm
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for english: although this has been superceded by an improved algorithm,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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WWW: http://pypi.python.org/pypi/PyStemmer/
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