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71 lines
1.7 KiB
Nix
71 lines
1.7 KiB
Nix
{
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lib,
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stdenv,
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fetchFromGitHub,
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gitUpdater,
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autoreconfHook,
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bzip2,
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libtar,
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libtool,
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pkg-config,
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autoconf-archive,
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libxml2,
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ticcutils,
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timbl,
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frog,
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}:
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stdenv.mkDerivation (finalAttrs: {
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pname = "mbt";
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version = "3.2.16";
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src = fetchFromGitHub {
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owner = "LanguageMachines";
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repo = "mbt";
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tag = "v${finalAttrs.version}";
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hash = "sha256-O/LhLWgLwDctkRYjds+AM9fGMIRX3eCnJhRIXyVrJ04=";
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};
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nativeBuildInputs = [
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pkg-config
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autoreconfHook
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];
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buildInputs = [
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bzip2
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libtar
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libtool
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autoconf-archive
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libxml2
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ticcutils
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timbl
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];
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patches = [ ./mbt-add-libxml2-dep.patch ];
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passthru = {
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updateScript = gitUpdater { rev-prefix = "v"; };
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tests = {
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/**
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Reverse dependencies. Does not respect overrides.
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*/
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reverseDependencies = lib.recurseIntoAttrs {
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inherit frog;
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};
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};
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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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