Ubuntu
frog package

frog 0.20-2build4 source package in Ubuntu

frog (0.20-2build4) lunar; urgency=medium

  * Rebuild against latest icu

 -- Jeremy Bicha <email address hidden>  Mon, 06 Feb 2023 14:45:20 -0500

Series	Pocket	Published	Component	Section
Mantic	release	on 2023-04-25	universe	science
Lunar	release	on 2023-02-26	universe	science

File	Size	SHA-256 Checksum
frog_0.20.orig.tar.gz	567.2 KiB	1862d780d2edebb2dfd9c6ae86c7df56806ff93ca60a086ad4d536b1b772fe3c
frog_0.20-2build4.debian.tar.xz	7.1 KiB	d6f68f653e73c7423c0120b0e4cd3388954cb879c1b07703b0b5ca378ef14f89
frog_0.20-2build4.dsc	2.3 KiB	e16505a54e106b58922c7505b2ce949cc3df9a96812ae1e0d508602bd783f176

frog: tagger and parser for natural languages (runtime): 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).
.
If you do scientific research in NLP, Frog will likely be of use to you.

libfrog-dev: 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.

libfrog2: No summary available for libfrog2 in ubuntu noble.: No description available for libfrog2 in ubuntu noble.