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python/PyStemmer: Wrap README at 72 columns. 

Signed-off-by: B. Watson <yalhcru@gmail.com>
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B. Watson 2022-03-14 04:07:07 -04:00
parent bcbd9a51f7
commit 329f159ece
1 changed files with 14 additions and 12 deletions
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@ -2,17 +2,19 @@ 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 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.
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although this has been superceded by an improved algorithm, the original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.
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english: although this has been superceded by an improved algorithm,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.