2017-08-22 08:39:22 +01:00
|
|
|
{ stdenv, fetchurl }:
|
|
|
|
|
|
|
|
stdenv.mkDerivation rec {
|
|
|
|
pname = "openfst";
|
2019-11-02 21:53:28 +00:00
|
|
|
version = "1.7.4";
|
2017-08-22 08:39:22 +01:00
|
|
|
|
|
|
|
src = fetchurl {
|
2019-08-15 13:41:18 +01:00
|
|
|
url = "http://www.openfst.org/twiki/pub/FST/FstDownload/${pname}-${version}.tar.gz";
|
2019-11-02 21:53:28 +00:00
|
|
|
sha256 = "0drhq5348vbaccpa0z3jvd5hyv5bm2i9xrak1wb4yvl2mx77dbmh";
|
2017-08-22 08:39:22 +01:00
|
|
|
};
|
|
|
|
meta = {
|
|
|
|
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 = stdenv.lib.licenses.asl20;
|
|
|
|
maintainers = [ stdenv.lib.maintainers.dfordivam ];
|
2019-01-15 17:27:59 +00:00
|
|
|
platforms = stdenv.lib.platforms.unix;
|
2017-08-22 08:39:22 +01:00
|
|
|
};
|
|
|
|
}
|
|
|
|
|