# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4

PortSystem          1.0

name                yamcha
version             0.33
categories          textproc math
maintainers         nomaintainer
license             LGPL-2.1

description         Yet Another Multipurpose CHunk Annotator

long_description    YamCha is a generic, customizable, and open source text \
                    chunker oriented toward a lot of NLP tasks, such as POS \
                    tagging, Named Entity Recognition, base NP chunking, and \
                    Text Chunking. YamCha is using a state-of-the-art machine \
                    learning algorithm called Support Vector Machines (SVMs), \
                    first introduced by Vapnik in 1995.

homepage            http://www.chasen.org/~taku/software/yamcha/
master_sites        ${homepage}src/

checksums           sha1    4ee6d8150557761f86fcb8af118636b7c23920c0 \
                    rmd160  ac21fa16a45efa40775d426cd6229f612a7aa21e

depends_lib         port:perl5 \
                    port:TinySVM

post-extract {
    move ${worksrcpath}/configure.in ${worksrcpath}/configure.ac
}

patchfiles          patch-configure.ac.diff

use_autoreconf      yes
autoreconf.args     -fvi

configure.args      --with-svm-learn=${prefix}/bin/svm_learn

test.run            yes
test.target         check

livecheck.type      regex
livecheck.url       [lindex ${master_sites} 0]
livecheck.regex     ${name}-(\[0-9.\]+)\\.
