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locks; strict;
comment	@# @;


1.3
date	2014.02.24.06.37.31;	author obache;	state Exp;
branches;
next	1.2;
commitid	ZprGxRtcKEkiSjqx;

1.2
date	2013.05.22.13.14.29;	author obache;	state Exp;
branches;
next	1.1;
commitid	vjLxpO2ztZhh0DQw;

1.1
date	2010.05.19.12.16.25;	author obache;	state Exp;
branches
	1.1.1.1;
next	;

1.1.1.1
date	2010.05.19.12.16.25;	author obache;	state Exp;
branches;
next	;


desc
@@


1.3
log
@Remove deprecated tournament model, it reduce much memory to create binary model.

Bump PKGREVISION.
@
text
@@@comment $NetBSD: PLIST,v 1.2 2013/05/22 13:14:29 obache Exp $
bin/cabocha
bin/cabocha-config
include/cabocha.h
lib/cabocha/model/chunk.ipa.model
lib/cabocha/model/chunk.juman.model
lib/cabocha/model/chunk.unidic.model
lib/cabocha/model/dep.ipa.model
lib/cabocha/model/dep.juman.model
lib/cabocha/model/dep.unidic.model
lib/cabocha/model/ne.ipa.model
lib/cabocha/model/ne.juman.model
lib/cabocha/model/ne.unidic.model
lib/libcabocha.la
libexec/cabocha/cabocha-learn
libexec/cabocha/cabocha-model-index
libexec/cabocha/cabocha-system-eval
man/man1/cabocha.1
share/examples/cabocharc
@


1.2
log
@Update cabocha to 0.66.

ChaSen is not supported anymore, using MeCab.
and use CRF++ instead of YamCha.
@
text
@d1 1
a1 1
@@comment $NetBSD: PLIST,v 1.1.1.1 2010/05/19 12:16:25 obache Exp $
a7 3
lib/cabocha/model/dep-tournament.ipa.model
lib/cabocha/model/dep-tournament.juman.model
lib/cabocha/model/dep-tournament.unidic.model
@


1.1
log
@Initial revision
@
text
@d1 1
a1 1
@@comment $NetBSD$
d5 12
a16 8
lib/cabocha/model/CRL-IREX-ne.model
lib/cabocha/model/CRL-IREX-ne.txtmodel.gz
lib/cabocha/model/IPA-chunker.model
lib/cabocha/model/IPA-chunker.txtmodel.gz
lib/cabocha/model/IPA-dep-A+P.model
lib/cabocha/model/IPA-dep-A+P.txtmodel.gz
lib/cabocha/model/IPA-dep.model
lib/cabocha/model/IPA-dep.txtmodel.gz
d18 3
a20 4
libexec/cabocha/KyotoCorpus.pm
libexec/cabocha/Makefile
libexec/cabocha/kc2cabocha.pl
libexec/cabocha/kc2juman.pl
@


1.1.1.1
log
@Import cabocha-0.53 as textproc/cabocha.

CaboCha is a Japanese dependency analysis machine based on Support Vector
Machines. It is (89.29%) system that accuracy is the highest as a statistical
Japanese dependency analysis machine as of June, 2001. Moreover, definite
analytical algorithm (Cascaded Chunking Model) that doesn't do back-track is
adopted, and an efficient analysis can be done comparatively.
@
text
@@