How to Install and Uninstall golang-gopkg-neurosnap-sentences.v1-dev Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 25,2024

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

This guide covers the steps necessary to install golang-gopkg-neurosnap-sentences.v1-dev on Ubuntu 20.10 (Groovy Gorilla)

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

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

Please follow the guidelines below to uninstall golang-gopkg-neurosnap-sentences.v1-dev on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove golang-gopkg-neurosnap-sentences.v1-dev $ sudo apt autoclean && sudo apt autoremove

3. Information about the golang-gopkg-neurosnap-sentences.v1-dev package on Ubuntu 20.10 (Groovy Gorilla)

Package: golang-gopkg-neurosnap-sentences.v1-dev
Architecture: all
Version: 1.0.6-1
Priority: extra
Section: universe/devel
Source: golang-gopkg-neurosnap-sentences.v1
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Go Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 19588
Filename: pool/universe/g/golang-gopkg-neurosnap-sentences.v1/golang-gopkg-neurosnap-sentences.v1-dev_1.0.6-1_all.deb
Size: 3932396
MD5sum: 385d2c81df5d7dd825bae259e1e1ccb0
SHA1: c01a1746c57adfb690a7956cc885f1f5f3a23778
SHA256: 172bc86d9690618b434b1673ccf4f527a04f35d4c275168d787efa7fb0c322e0
SHA512: ee59a2334ff6e0b6824fb5d541c4cff7f478cd2f45b4106e6781750d98091f50478f99914f1386481112be533b4f8e5abba392e8777c2f883db778fe6de5b651
Homepage: https://gopkg.in/neurosnap/sentences.v1
Description-en: Sentence tokenizer for Go
A golang package that converts a blob of text into a list of sentences.
.
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.
.
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.
.
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: 4ec0bf9e79be0d9625f71e4f3b102dd5