How to Install and Uninstall libfrog-dev Package on Ubuntu 21.04 (Hirsute Hippo)
Last updated: November 26,2024
1. Install "libfrog-dev" package
Learn how to install libfrog-dev on Ubuntu 21.04 (Hirsute Hippo)
$
sudo apt update
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$
sudo apt install
libfrog-dev
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2. Uninstall "libfrog-dev" package
Please follow the guidance below to uninstall libfrog-dev on Ubuntu 21.04 (Hirsute Hippo):
$
sudo apt remove
libfrog-dev
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libfrog-dev package on Ubuntu 21.04 (Hirsute Hippo)
Package: libfrog-dev
Architecture: amd64
Version: 0.20-2build1
Multi-Arch: same
Priority: optional
Section: universe/libdevel
Source: frog
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 7179
Depends: libfrog2 (= 0.20-2build1)
Filename: pool/universe/f/frog/libfrog-dev_0.20-2build1_amd64.deb
Size: 552164
MD5sum: fa5d6feb66bcc1beab32edbf74449c8c
SHA1: 0c1d4628b4f82ecc9a7f69600f3135fbcc001a00
SHA256: 5afa536aa0a7c81b1225eb6d376d95cc3c24ef22cb262711fd74605c4030b0d0
SHA512: c35fdb037aa037ffa1f9bb351caef6e8a21a3f9d2c63f2d77bd041f0e3ed5a6281f937f1d4fe7d49a464cb0f1c3ab3a56db8438250459e2a831d220ebb0aecaf
Homepage: https://languagemachines.github.io/frog/
Description-en: tagger and parser for natural languages (headers)
Memory-Based Learning (MBL) is a machine-learning method applicable to a wide
range of tasks in Natural Language Processing (NLP).
.
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).
.
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).
.
This package containers the headers needed to compile against Frog.
Description-md5: 305516ca92cc50bc56d19a47c88f30dc
Architecture: amd64
Version: 0.20-2build1
Multi-Arch: same
Priority: optional
Section: universe/libdevel
Source: frog
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 7179
Depends: libfrog2 (= 0.20-2build1)
Filename: pool/universe/f/frog/libfrog-dev_0.20-2build1_amd64.deb
Size: 552164
MD5sum: fa5d6feb66bcc1beab32edbf74449c8c
SHA1: 0c1d4628b4f82ecc9a7f69600f3135fbcc001a00
SHA256: 5afa536aa0a7c81b1225eb6d376d95cc3c24ef22cb262711fd74605c4030b0d0
SHA512: c35fdb037aa037ffa1f9bb351caef6e8a21a3f9d2c63f2d77bd041f0e3ed5a6281f937f1d4fe7d49a464cb0f1c3ab3a56db8438250459e2a831d220ebb0aecaf
Homepage: https://languagemachines.github.io/frog/
Description-en: tagger and parser for natural languages (headers)
Memory-Based Learning (MBL) is a machine-learning method applicable to a wide
range of tasks in Natural Language Processing (NLP).
.
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).
.
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).
.
This package containers the headers needed to compile against Frog.
Description-md5: 305516ca92cc50bc56d19a47c88f30dc