How to Install and Uninstall libstemmer.x86_64 Package on Oracle Linux 9
Last updated: November 27,2024
1. Install "libstemmer.x86_64" package
Please follow the step by step instructions below to install libstemmer.x86_64 on Oracle Linux 9
$
sudo dnf update
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$
sudo dnf install
libstemmer.x86_64
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2. Uninstall "libstemmer.x86_64" package
Please follow the instructions below to uninstall libstemmer.x86_64 on Oracle Linux 9:
$
sudo dnf remove
libstemmer.x86_64
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$
sudo dnf autoremove
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3. Information about the libstemmer.x86_64 package on Oracle Linux 9
Last metadata expiration check: 0:00:36 ago on Thu Feb 15 07:50:05 2024.
Available Packages
Name : libstemmer
Version : 0
Release : 18.585svn.el9
Architecture : x86_64
Size : 83 k
Source : libstemmer-0-18.585svn.el9.src.rpm
Repository : ol9_appstream
Summary : C stemming algorithm library
URL : http://snowball.tartarus.org
License : BSD
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: English: although this has been superseded by an improved algorithm,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.
Available Packages
Name : libstemmer
Version : 0
Release : 18.585svn.el9
Architecture : x86_64
Size : 83 k
Source : libstemmer-0-18.585svn.el9.src.rpm
Repository : ol9_appstream
Summary : C stemming algorithm library
URL : http://snowball.tartarus.org
License : BSD
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.