How to Install and Uninstall golang-gopkg-neurosnap-sentences.v1-dev Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 13,2024

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 Ubuntu 21.04 (Hirsute Hippo)

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

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

Please follow the guidance below to uninstall golang-gopkg-neurosnap-sentences.v1-dev on Ubuntu 21.04 (Hirsute Hippo):

$ 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 21.04 (Hirsute Hippo)

Package: golang-gopkg-neurosnap-sentences.v1-dev
Architecture: all
Version: 1.0.6-1.1
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_1.0.6-1.1_all.deb
Size: 3932964
MD5sum: 7112187a7639fb6ea26f1f6ea4eb3c03
SHA1: f5575bcb97686823b2d5c39b4cfac592eb5b718e
SHA256: a35353e7b7c6de9a8d3688863545d60a7ab6c5949cca7234982b4feb9b6089dd
SHA512: 7d7a25ab003edace8cd77f86a3657e8f08438ce7dd0907e991c91db511f3428d943a6088163d522ea198daa88c67156d5b06b45c59c9854962368f3d59f978ec
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