depot/third_party/nixpkgs/pkgs/development/libraries/openfst/default.nix
Default email 0eaa97ffad Project import generated by Copybara.
GitOrigin-RevId: c59ea8b8a0e7f927e7291c14ea6cd1bd3a16ff38
2020-08-20 19:08:02 +02:00

40 lines
1.2 KiB
Nix

{ stdenv, fetchurl, autoreconfHook }:
stdenv.mkDerivation rec {
pname = "openfst";
version = "1.7.9";
src = fetchurl {
url = "http://www.openfst.org/twiki/pub/FST/FstDownload/${pname}-${version}.tar.gz";
sha256 = "1pmx1yhn2gknj0an0zwqmzgwjaycapi896244np50a8y3nrsw6ck";
};
configureFlags = [
"--enable-compact-fsts"
"--enable-compress"
"--enable-const-fsts"
"--enable-far"
"--enable-linear-fsts"
"--enable-lookahead-fsts"
"--enable-mpdt"
"--enable-ngram-fsts"
"--enable-pdt"
];
enableParallelBuilding = true;
nativeBuildInputs = [ autoreconfHook ];
meta = with stdenv.lib; {
description = "Library for working with finite-state transducers";
longDescription = ''
Library for constructing, combining, optimizing, and searching weighted finite-state transducers (FSTs).
FSTs have key applications in speech recognition and synthesis, machine translation, optical character recognition,
pattern matching, string processing, machine learning, information extraction and retrieval among others
'';
homepage = "http://www.openfst.org/twiki/bin/view/FST/WebHome";
license = licenses.asl20;
maintainers = [ maintainers.dfordivam ];
platforms = platforms.unix;
};
}