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Source: pystemmer
Section: python
Priority: optional
Maintainer: Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
Uploaders: Stefano Rivera <stefanor@debian.org>
Build-Depends:
cython-dbg,
debhelper (>= 8.1),
dpkg-dev (>= 1.15.7~),
libstemmer-dev,
python-all-dbg,
python-all-dev (>= 2.6.6-14~),
python-docutils,
python-epydoc,
python3-all-dbg,
python3-all-dev (>= 3.1.2-6~)
X-Python-Version: >= 2.4
X-Python3-Version: >= 3.0
XS-Testsuite: autopkgtest
Standards-Version: 3.9.4
Homepage: http://snowball.tartarus.org/
Vcs-Svn: svn://anonscm.debian.org/python-modules/packages/pystemmer/trunk/
Vcs-Browser: http://anonscm.debian.org/viewvc/python-modules/packages/pystemmer/trunk/
Package: python-stemmer
Architecture: any
Suggests: python-stemmer-doc
Depends: ${misc:Depends}, ${python:Depends}, ${shlibs:Depends}
Description: Python bindings for libstemmer - snowball 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 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although this has been superseded by an improved algorithm, the original
algorithm may be of interest to information retrieval researchers wishing to
reproduce results of earlier experiments.
Package: python-stemmer-dbg
Section: debug
Priority: extra
Architecture: any
Depends:
python-stemmer (= ${binary:Version}),
${misc:Depends},
${python:Depends},
${shlibs:Depends}
Recommends: python-dbg
Description: Python bindings for libstemmer (debug extension)
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.
.
PyStemmer provides algorithms for several (mainly European) languages, by
wrapping the libstemmer library from the Snowball project in a Python module.
.
This package contains the extensions built for the Python debug interpreter.
Package: python-stemmer-doc
Section: doc
Architecture: all
Depends: ${misc:Depends}, ${python:Depends}, ${shlibs:Depends}
Replaces: python-stemmer (<< 1.2.0)
Description: Python bindings for libstemmer (documentation)
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.
.
PyStemmer provides algorithms for several (mainly European) languages, by
wrapping the libstemmer library from the Snowball project in a Python module.
.
This package contains the documentation for the extension.
Package: python3-stemmer
Architecture: any
Depends: ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends}
Suggests: python-stemmer-doc
Description: Python 3 bindings for libstemmer - snowball 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 algorithms for several (mainly European) languages, by
wrapping the libstemmer library from the Snowball project in a Python 3
module.
.
It also provides access to the classic Porter stemming algorithm for English:
although this has been superseded by an improved algorithm, the original
algorithm may be of interest to information retrieval researchers wishing to
reproduce results of earlier experiments.
Package: python3-stemmer-dbg
Section: debug
Priority: extra
Architecture: any
Depends:
python3-stemmer (= ${binary:Version}),
${misc:Depends},
${python3:Depends},
${shlibs:Depends}
Recommends: python3-dbg
Description: Python 3 bindings for libstemmer (debug extension)
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.
.
PyStemmer provides algorithms for several (mainly European) languages, by
wrapping the libstemmer library from the Snowball project in a Python 3
module.
.
This package contains the extensions built for the Python 3 debug interpreter.
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