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{ stdenv, fetchurl
, automake, autoconf, bzip2, libtar, libtool, pkgconfig, autoconf-archive
, libxml2
, languageMachines
}:
let
release = builtins.fromJSON (builtins.readFile ./release-info/LanguageMachines-mbt.json);
in
stdenv.mkDerivation {
name = "mbt-${release.version}";
version = release.version;
src = fetchurl { inherit (release) url sha256;
name = "mbt-${release.version}.tar.gz"; };
nativeBuildInputs = [ pkgconfig ];
buildInputs = [ automake autoconf bzip2 libtar libtool autoconf-archive
libxml2
languageMachines.ticcutils
languageMachines.timbl
];
patches = [ ./mbt-add-libxml2-dep.patch ];
preConfigure = ''
sh bootstrap.sh
'';
meta = with stdenv.lib; {
description = "Memory Based Tagger";
homepage = "https://languagemachines.github.io/mbt/";
license = licenses.gpl3;
platforms = platforms.all;
maintainers = with maintainers; [ roberth ];
longDescription = ''
MBT is a memory-based tagger-generator and tagger in one. The tagger-generator part can generate a sequence tagger on the basis of a training set of tagged sequences; the tagger part can tag new sequences. MBT can, for instance, be used to generate part-of-speech taggers or chunkers for natural language processing. It has also been used for named-entity recognition, information extraction in domain-specific texts, and disfluency chunking in transcribed speech.
Mbt is used by Frog for Dutch tagging.
'';
};
}
|