How to Install and Uninstall libstemmer0d Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 19,2024

1. Install "libstemmer0d" package

Please follow the steps below to install libstemmer0d on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libstemmer0d
            
                    
    
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2. Uninstall "libstemmer0d" package

Here is a brief guide to show you how to uninstall libstemmer0d on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libstemmer0d
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libstemmer0d package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libstemmer0d
Priority: optional
Section: universe/libs
Installed-Size: 372
Maintainer: Ubuntu Developers
Original-Maintainer: Stefano Rivera
Architecture: amd64
Source: snowball
Version: 0+svn585-1
Depends: libc6 (>= 2.4)
Pre-Depends: multiarch-support
Filename: pool/universe/s/snowball/libstemmer0d_0+svn585-1_amd64.deb
Size: 62146
MD5sum: d3a35665a6bb49da5b2cf5ad3bf236e2
SHA1: 579a58122f44e5e132d555b0fcc1684baedc9b5b
SHA256: afe3ea16e89753121b50be77b1cbad0471b5dac9143f9f942f110e32d63c9921
Description-en: 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".
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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English: although this has been superseded by an improved algorithm, the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.
Description-md5: d31a6b99d05af3ce727c7257c64b1004
Multi-Arch: same
Homepage: http://snowball.tartarus.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu