ac5a927919
Conflicts: pkgs/development/python-modules/einops/default.nix pkgs/development/python-modules/elegy/default.nix
42 lines
1.5 KiB
Nix
42 lines
1.5 KiB
Nix
{ lib, stdenv, fetchurl
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, automake, autoconf, bzip2, libtar, libtool, pkg-config, autoconf-archive
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, libxml2
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, languageMachines
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}:
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let
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release = lib.importJSON ./release-info/LanguageMachines-mbt.json;
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in
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stdenv.mkDerivation {
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pname = "mbt";
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version = release.version;
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src = fetchurl { inherit (release) url sha256;
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name = "mbt-${release.version}.tar.gz"; };
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nativeBuildInputs = [ pkg-config automake autoconf ];
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buildInputs = [ bzip2 libtar libtool autoconf-archive
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libxml2
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languageMachines.ticcutils
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languageMachines.timbl
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];
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patches = [ ./mbt-add-libxml2-dep.patch ];
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preConfigure = ''
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sh bootstrap.sh
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'';
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meta = with lib; {
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description = "Memory Based Tagger";
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homepage = "https://languagemachines.github.io/mbt/";
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license = licenses.gpl3;
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platforms = platforms.all;
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maintainers = with maintainers; [ roberth ];
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longDescription = ''
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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.
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Mbt is used by Frog for Dutch tagging.
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'';
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};
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}
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