3
5
Fork 0
mirror of git://git.savannah.gnu.org/guix.git synced 2023-12-14 03:33:07 +01:00
guix/gnu/packages/speech.scm
David Thompson 9698f4b74b gnu: Add mitlm.
* gnu/packages/speech.scm: New file.
* gnu/local.mk (GNU_SYSTEM_MODULES): Add it.
2016-05-26 08:50:09 -04:00

51 lines
2.1 KiB
Scheme

;;; GNU Guix --- Functional package management for GNU
;;; Copyright © 2016 David Thompson <davet@gnu.org>
;;;
;;; This file is part of GNU Guix.
;;;
;;; GNU Guix is free software; you can redistribute it and/or modify it
;;; under the terms of the GNU General Public License as published by
;;; the Free Software Foundation; either version 3 of the License, or (at
;;; your option) any later version.
;;;
;;; GNU Guix is distributed in the hope that it will be useful, but
;;; WITHOUT ANY WARRANTY; without even the implied warranty of
;;; MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
;;; GNU General Public License for more details.
;;;
;;; You should have received a copy of the GNU General Public License
;;; along with GNU Guix. If not, see <http://www.gnu.org/licenses/>.
(define-module (gnu packages speech)
#:use-module ((guix licenses) #:prefix license:)
#:use-module (guix packages)
#:use-module (guix download)
#:use-module (guix build-system gnu)
#:use-module (gnu packages)
#:use-module (gnu packages gcc))
(define-public mitlm
(package
(name "mitlm")
(version "0.4.1")
;; No official release tarballs, so for now we use the one from Debian
;; that is maintained by one of the project developers.
;;
;; See: https://github.com/mitlm/mitlm/issues/54
(source (origin
(method url-fetch)
(uri (string-append "mirror://debian/pool/main/m/mitlm/mitlm_"
version ".orig.tar.gz"))
(sha256
(base32
"12m09xxx8jbir9cnzzaysvni5sfijpfj96z1x1520qqvmpc8lmn7"))))
(build-system gnu-build-system)
(native-inputs
`(("gfortran" ,gfortran)))
(synopsis "The MIT Language Modeling toolkit")
(description "The MIT Language Modeling (MITLM) toolkit is a set of
tools designed for the efficient estimation of statistical n-gram language
models involving iterative parameter estimation. It achieves much of its
efficiency through the use of a compact vector representation of n-grams.")
(home-page "https://github.com/mitlm/mitlm")
(license license:expat)))