How to Install and Uninstall frog Package on Kali Linux

Last updated: May 19,2024

1. Install "frog" package

Please follow the guidelines below to install frog on Kali Linux


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

Here is a brief guide to show you how to uninstall frog on Kali Linux:


    
        
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                sudo apt remove
            
                        
                frog
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the frog package on Kali Linux

Package: frog
Source: frog (0.20-2)
Version: 0.20-2+b3
Installed-Size: 333
Maintainer: Debian Science Team
Architecture: amd64
Depends: libc6 (>= 2.34), libfolia14 (>= 2.4), libfrog2 (>= 0.20), libgcc-s1 (>= 3.0), libicu72 (>= 72.1~rc-1~), libmbt1 (>= 3.6), libstdc++6 (>= 11), libticcutils8 (>= 0.24), libtimbl4 (>= 6.5), libucto5 (>= 0.21.1)
Recommends: ucto
Size: 114668
SHA256: c1556ff9b5363090fb91124928e388cada64a009ffd9f6a8b0410306f8fb4433
SHA1: 795c427b6cc5b75a6eaeb60d56f07c19e3e71d34
MD5sum: 443755c6869c5e1f36e946e3836eb3a9
Description: tagger and parser for natural languages (runtime)
Memory-Based Learning (MBL) is a machine-learning method applicable to a wide
range of tasks in Natural Language Processing (NLP).
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Frog is a modular system integrating a morphosyntactic tagger, lemmatizer,
morphological analyzer, and dependency parser for natural languages. It is
based upon it's predecessor TADPOLE (TAgger, Dependency Parser, and
mOrphoLogical analyzEr). Using Memory-Based Learning techniques, frog
tokenizes, tags, lemmatizes, and morphologically segments word tokens in
incoming UTF-8 text files, and assigns a dependency graph to each sentence.
Frog is particularly targeted at the increasing need for fast, automatic NLP
systems applicable to very large (multi-million to billion word) document
collections that are becoming available due to the progressive digitization of
both new and old textual data. Up to now, frog has only been tested and used
using corpora of Dutch natural language (see the frogdata package for samples).
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Frog is a product of the Centre of Language and Speech Technology at
Radboud University Nijmegen, it subsumes previous work by the
ILK Research Group (Tilburg University, The Netherlands) and
the CLiPS Research Centre (University of Antwerp, Belgium).
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If you do scientific research in NLP, Frog will likely be of use to you.
Description-md5:
Homepage: https://languagemachines.github.io/frog/
Section: science
Priority: optional
Filename: pool/main/f/frog/frog_0.20-2+b3_amd64.deb