How to Install and Uninstall wordnet-grind Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 14,2024

1. Install "wordnet-grind" package

Please follow the guidance below to install wordnet-grind on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install wordnet-grind

2. Uninstall "wordnet-grind" package

This guide let you learn how to uninstall wordnet-grind on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove wordnet-grind $ sudo apt autoclean && sudo apt autoremove

3. Information about the wordnet-grind package on Ubuntu 20.10 (Groovy Gorilla)

Package: wordnet-grind
Architecture: amd64
Version: 1:3.0-36
Priority: extra
Section: universe/text
Source: wordnet
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 102
Depends: libc6 (>= 2.14)
Recommends: wordnet
Filename: pool/universe/w/wordnet/wordnet-grind_3.0-36_amd64.deb
Size: 34220
MD5sum: 86a7fdb3d487e0a5bcd8a3a561660ab6
SHA1: 74a69b0a0d94d18b3dd2dfcc9dcadcb40839c45a
SHA256: e6e48a2709440885d1854d0d350b734c1495473d723f7fb5ad4557bd4741192a
SHA512: b64f739c2d4f0eabc79a0dbb3b355cadb7c48e9610cea78a3a15be705c2b5043315ba58b12da8caf13dd6e0280c10d98bc23284c67838b331854b631c3b5bb0d
Homepage: http://wordnet.princeton.edu/
Description-en: WordNet lexicographer files processor
WordNet(C) is an on-line lexical reference system whose design is
inspired by current psycholinguistic theories of human lexical
memory. English nouns, verbs, adjectives and adverbs are organized
into synonym sets, each representing one underlying lexical
concept. Different relations link the synonym sets.
.
WordNet was developed by the Cognitive Science Laboratory at Princeton
University under the direction of Professor George A. Miller (Principal
Investigator).
.
This package contains the grind processor for WordNet lexicographer
files. It can be used to process the lexicographer files from the
Debian source tarball into a WordNet binary database file or other
lexicographer filese provided by the user.
Description-md5: f378d460c4910aa3b6d0e562ddcf4e8a