How to Install and Uninstall golang-gopkg-neurosnap-sentences.v1-dev Package on Kali Linux

Last updated: November 22,2024

1. Install "golang-gopkg-neurosnap-sentences.v1-dev" package

In this section, we are going to explain the necessary steps to install golang-gopkg-neurosnap-sentences.v1-dev on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                golang-gopkg-neurosnap-sentences.v1-dev
            
                    
    
    Copied

2. Uninstall "golang-gopkg-neurosnap-sentences.v1-dev" package

Here is a brief guide to show you how to uninstall golang-gopkg-neurosnap-sentences.v1-dev on Kali Linux:


    
        
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                sudo apt remove
            
                        
                golang-gopkg-neurosnap-sentences.v1-dev
            
                    
    
    Copied


    
        
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the golang-gopkg-neurosnap-sentences.v1-dev package on Kali Linux

Package: golang-gopkg-neurosnap-sentences.v1-dev
Source: golang-gopkg-neurosnap-sentences.v1
Version: 1.0.6-1.1
Installed-Size: 19589
Maintainer: Debian Go Packaging Team
Architecture: all
Size: 3932836
SHA256: 66158e7c294a10b9443072ad576225adf2874dd5ce4d34e0f0efc341179fdbac
SHA1: 88ca45447f327cc53dd6ba6cf5b6416b67a47623
MD5sum: 0a1c606bae4f2fa3b03aacd3fd24bac5
Description: Sentence tokenizer for Go
A golang package that converts a blob of text into a list of sentences.
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This package attempts to support a multitude of languages:
Czech, Danish, Dutch, English, Estonian, Finnish,
French, German, Greek, Italian, Norwegian, Polish,
Portuguese, Slovene, Spanish, Swedish, and Turkish.
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An unsupervised multilingual sentence boundary detection library for golang.
The goal of this library is to be able to break up any text into a list of
sentences in multiple languages. The way the punkt system accomplishes this
goal is through training the tokenizer with text in that given language.
Once the likelihoods of abbreviations, collocations, and sentence starters
are determined, finding sentence boundaries becomes easier.
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There are many problems that arise when tokenizing text into sentences,
the primary issue being abbreviations. The punkt system attempts to
determine whether a word is an abbreviation, an end to a sentence, or even
both through training the system with text in the given language.
The punkt system incorporates both token- and type-based analysis on the
text through two different phases of annotation.
.
Original research article:
http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=BAE5C34E5C3B9DC60DFC4D93B85D8BB1?doi=10.1.1.85.5017&rep=rep1&type=pdf
Description-md5:
Homepage: https://gopkg.in/neurosnap/sentences.v1
Section: golang
Priority: extra
Filename: pool/main/g/golang-gopkg-neurosnap-sentences.v1/golang-gopkg-neurosnap-sentences.v1-dev_1.0.6-1.1_all.deb