9bb3fccb5b
continuation of #109595 pkgconfig was aliased in 2018, however, it remained in all-packages.nix due to its wide usage. This cleans up the remaining references to pkgs.pkgsconfig and moves the entry to aliases.nix. python3Packages.pkgconfig remained unchanged because it's the canonical name of the upstream package on pypi.
42 lines
1.5 KiB
Nix
42 lines
1.5 KiB
Nix
{ 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 = builtins.fromJSON (builtins.readFile ./release-info/LanguageMachines-mbt.json);
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in
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stdenv.mkDerivation {
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name = "mbt-${release.version}";
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version = release.version;
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src = fetchurl { inherit (release) url sha256;
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name = "mbt-${release.version}.tar.gz"; };
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nativeBuildInputs = [ pkg-config ];
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buildInputs = [ automake autoconf 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 stdenv.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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