How to Install and Uninstall liblingua-en-tagger-perl Package on Ubuntu 21.10 (Impish Indri)

Last updated: December 24,2024

1. Install "liblingua-en-tagger-perl" package

Please follow the guidelines below to install liblingua-en-tagger-perl on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                liblingua-en-tagger-perl
            
                    
    
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2. Uninstall "liblingua-en-tagger-perl" package

Please follow the steps below to uninstall liblingua-en-tagger-perl on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                liblingua-en-tagger-perl
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the liblingua-en-tagger-perl package on Ubuntu 21.10 (Impish Indri)

Package: liblingua-en-tagger-perl
Architecture: all
Version: 0.31-1
Priority: optional
Section: universe/perl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Perl Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2375
Depends: libhtml-parser-perl, liblingua-stem-perl, libmemoize-expirelru-perl, perl
Filename: pool/universe/libl/liblingua-en-tagger-perl/liblingua-en-tagger-perl_0.31-1_all.deb
Size: 460124
MD5sum: 231e247f92120718be46153f51d9ae82
SHA1: d5dccf4b821e0223fddab8ca97574895810bfb82
SHA256: 362ee6333962e9ba37db9ac77bd48384b22817bf3c588a1119dc566564592258
SHA512: 69b81a0785c43c9d54165cb656a58fd7d73855ada5b2b1673bd3e272c5d0a877c02a998adba2396bbc8e4015ca2a5ce2a0d056794a6c8669997fe557e5d45431
Homepage: https://metacpan.org/release/Lingua-EN-Tagger
Description-en: part-of-speech tagger for English natural language processing
Lingua::EN::Tagger is a perl module which implements a probability based,
corpus-trained tagger that assigns POS tags to English text based on a lookup
dictionary and a set of probability values. The tagger assigns appropriate
tags based on conditional probabilities - it examines the preceding tag to
determine the appropriate tag for the current word. Unknown words are
classified according to word morphology or can be set to be treated as nouns
or other parts of speech.
.
The tagger also extracts as many nouns and noun phrases as it can, using a
set of regular expressions.
Description-md5: 9df46a402c637549fbe5291ef78db0aa