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Source: frog
Maintainer: Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Maarten van Gompel <proycon@anaproy.nl>,
Ko van der Sloot <k.vandersloot@let.ru.nl>
Section: science
Priority: optional
Build-Depends: debhelper-compat (= 12),
frogdata (>= 0.18),
libexttextcat-dev,
libfolia-dev (>= 2.4),
libicu-dev (>= 52),
libmbt-dev (>= 3.6),
libticcutils-dev (>= 0.24),
libtimbl-dev (>= 6.5),
libtimblserver-dev (>= 1.14),
libucto-dev (>= 0.21),
libxml2-dev,
pkg-config,
uctodata (>= 0.8)
Standards-Version: 4.5.0
Rules-Requires-Root: no
Vcs-Git: https://salsa.debian.org/science-team/frog.git
Vcs-Browser: https://salsa.debian.org/science-team/frog
Homepage: https://languagemachines.github.io/frog/
Package: frog
Architecture: any
Depends: ${misc:Depends},
${shlibs:Depends}
Recommends: ucto
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).
.
If you do scientific research in NLP, Frog will likely be of use to you.
Package: libfrog-dev
Section: libdevel
Architecture: any
Depends: libfrog2 (= ${binary:Version}),
${misc:Depends}
Multi-Arch: same
Description: 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.
Package: libfrog2
Architecture: any
Section: libs
Depends: ${misc:Depends},
${shlibs:Depends}
Multi-Arch: same
Breaks: libfrog1
Replaces: libfrog1
Description: tagger and parser for Dutch language (library)
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. Using
Memory-Based Learning techniques, Frog analyses word tokens in incoming
UTF-8 text files, and assigns a dependency graph to each sentence.
.
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 provides the runtime files required to run programs that use
Frog.
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