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Source: snowball
Section: libs
Priority: optional
Maintainer: Stefano Rivera <stefanor@debian.org>
Build-Depends:
debhelper-compat (= 13),
dh-python,
python3-all,
python3-setuptools,
snowball-data (>= 0+20210120)
Standards-Version: 4.5.1
Homepage: https://snowballstem.org/
Vcs-Git: https://salsa.debian.org/debian/snowball.git
Vcs-Browser: https://salsa.debian.org/debian/snowball
Rules-Requires-Root: no
Package: libstemmer0d
Architecture: any
Pre-Depends: ${misc:Pre-Depends}
Depends: ${misc:Depends}, ${shlibs:Depends}
Multi-Arch: same
Description: Snowball stemming algorithms for use in Information Retrieval
Snowball 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".
.
Snowball provides algorithms for several (mainly European) languages.
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English: although this has been superseded by an improved algorithm, the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: libstemmer-dev
Section: libdevel
Architecture: any
Depends: libstemmer0d (= ${binary:Version}), ${misc:Depends}
Multi-Arch: same
Description: Snowball stemming algorithms, development kit
Snowball 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".
.
Snowball provides algorithms for several (mainly European) languages.
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English: although this has been superseded by an improved algorithm, the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.
.
This package contains the static library and header files used in development.
Package: libstemmer-tools
Section: text
Architecture: any
Multi-Arch: foreign
Depends: ${misc:Depends}, ${shlibs:Depends}
Description: Simple word stemming utility using Snowball
Snowball 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".
.
Snowball provides algorithms for several (mainly European) languages.
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.
.
This package contains "stemwords", a simple utility for stemming words.
Package: python3-snowballstemmer
Section: python
Architecture: all
Depends: ${misc:Depends}, ${python3:Depends}
Suggests: python3-stemmer
Description: Pure Python Snowball stemming library
Snowball 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".
.
Snowball provides algorithms for several (mainly European) languages.
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.
.
This package contains the pure Python module that implements Snowball
algorithms. When python3-stemmer package (which contains the C extension)
is installed, it uses that extension instead of the pure Python code.
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