snowball 2.1.0-1build1 source package in Ubuntu

Changelog

snowball (2.1.0-1build1) impish; urgency=medium

  * No-change rebuild to build packages with zstd compression.

 -- Matthias Klose <email address hidden>  Thu, 07 Oct 2021 12:24:34 +0200

Upload details

Uploaded by:
Matthias Klose
Uploaded to:
Impish
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_2.1.0.orig.tar.gz 215.2 KiB 24ae0b28d6531190c2cd960d515ec9374d3a3d9420c4a0accdf89b7f02fc9caa
snowball_2.1.0-1build1.debian.tar.xz 7.9 KiB e6e411bf7a5c92d254b0c229318a10f85969187acd15944d246f96d4d325f279
snowball_2.1.0-1build1.dsc 2.2 KiB 38e6f517d74f17014dbcc435b6d6d4b1d1d931eb2cb5f3af2c6cd4e353d0b88c

View changes file

Binary packages built by this source

libstemmer-dev: No summary available for libstemmer-dev in ubuntu impish.

No description available for libstemmer-dev in ubuntu impish.

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 English: although this has been superseded by an improved algorithm, the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: No summary available for libstemmer-tools-dbgsym in ubuntu impish.

No description available for libstemmer-tools-dbgsym in ubuntu impish.

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: No summary available for libstemmer0d-dbgsym in ubuntu impish.

No description available for libstemmer0d-dbgsym in ubuntu impish.

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.