Ubuntu
snowball package

snowball 2.2.0-3 source package in Ubuntu

Changelog

snowball (2.2.0-3) experimental; urgency=medium

  [ Helmut Grohne ]
  * Fix FTCBFS: Build snowball compiler for the build architecture.
    (Closes: #1034291)

  [ Stefano Rivera ]
  * Patch: Correctly clean stemtest.
  * Bump Standards-Version to 4.6.2, no changes needed.
  * Bump copyright years.

 -- Stefano Rivera <email address hidden>  Wed, 12 Apr 2023 10:58:39 -0400

Upload details

Uploaded by:
Stefano Rivera
Uploaded to:
Experimental
Original maintainer:
Stefano Rivera
Architectures:
any all
Section:
libs
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
snowball_2.2.0-3.dsc 1.6 KiB 9a959ce0ff44c5ec5c75594361953c3781577635492065e544a15c93de8246ea
snowball_2.2.0.orig.tar.gz 218.6 KiB 425cdb5fba13a01db59a1713780f0662e984204f402d3dae1525bda9e6d30f1a
snowball_2.2.0-3.debian.tar.xz 8.5 KiB 6addf9d69861b85d3366c3770dc62e7b4f60e6a94324e6090b05870182d46b5b

Available diffs

No changes file available.

Binary packages built by this source

libstemmer-dev: 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 English: although this has been superseded by an improved algorithm, the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.

libstemmer-tools: 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.

libstemmer-tools-dbgsym: debug symbols for libstemmer-tools
libstemmer0d: 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.

libstemmer0d-dbgsym: debug symbols for libstemmer0d
python3-snowballstemmer: 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.