Artifact libfrog-dev_0.32-2_arm64

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deb_control_files:
- control
- md5sums
deb_fields:
  Architecture: arm64
  Depends: libfrog3 (= 0.32-2)
  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).It is
     currently maintained at the KNAW Humanities Cluster.
     .
     This package containers the headers needed to compile against Frog.
  Homepage: https://languagemachines.github.io/frog/
  Installed-Size: '6879'
  Maintainer: Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
  Multi-Arch: same
  Package: libfrog-dev
  Priority: optional
  Section: libdevel
  Source: frog
  Version: 0.32-2
srcpkg_name: frog
srcpkg_version: 0.32-2

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built-using Source package frog_0.32-2

binary package System - - 5 months, 1 week ago 4 months, 1 week
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