Package: frog
Version: 0.34-1build2
Architecture: arm64
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size: 290
Depends: libc6 (>= 2.34), libfolia22 (>= 2.21.1), libfrog3 (>= 0.34), libgcc-s1 (>= 3.3.1), libicu78 (>= 78.1-1~), libmbt2 (>= 3.11), libstdc++6 (>= 13.1), libticcutils10 (>= 0.36), libtimbl7 (>= 6.10), libucto6 (>= 0.35)
Recommends: ucto
Section: science
Priority: optional
Homepage: https://languagemachines.github.io/frog/
Description: 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). It is
 currently maintained at the KNAW Humanities Cluster.
 .
 If you do scientific research in NLP, Frog will likely be of use to you.
