Add dbacl 1.4, digramic Bayesian classifier.

dbacl is a digramic Bayesian text classifier. Given some text,
it calculates the posterior probabilities that the input resembles
one of any number of previously learned document collections.
It can be used to sort incoming email into arbitrary categories
such as spam, work, and play, or simply to distinguish an English text
from a French text. It fully supports international character sets,
and uses sophisticated statistical models based on the
Maximum Entropy Principle.

Author:	Laird A. Breyer <laird@lbreyer.com>
WWW:	http://dbacl.sourceforge.net/

PR:		58733
Submitted by:	Cheng-Lung Sung <clsung@dragon2.net>

5 files changed, 78 insertions, 0 deletions

diff --git a/textproc/Makefile b/textproc/Makefile
index 47e16ca0cf37..cd26aa068057 100644
--- a/textproc/Makefile
+++ b/textproc/Makefile
@@ -43,6 +43,7 @@
     SUBDIR += cy-aspell
     SUBDIR += da-aspell
     SUBDIR += dadadodo
+    SUBDIR += dbacl
     SUBDIR += dico
     SUBDIR += dict
     SUBDIR += dictfmt
diff --git a/textproc/dbacl/Makefile b/textproc/dbacl/Makefile
new file mode 100644
index 000000000000..e25de501f70e
--- /dev/null
+++ b/textproc/dbacl/Makefile
@@ -0,0 +1,40 @@
+# New ports collection makefile for:	dbacl
+# Date created:		2003-10-30
+# Whom:			Cheng-Lung Sung <clsung@dragon2.net>
+#
+# $FreeBSD$
+#
+
+PORTNAME=	dbacl
+PORTVERSION=	1.4
+CATEGORIES=	textproc
+MASTER_SITES=	${MASTER_SITE_SOURCEFORGE}
+MASTER_SITE_SUBDIR=	${PORTNAME}
+
+MAINTAINER=	clsung@dragon2.net
+COMMENT=	Digramic Bayesian classifier
+
+RUN_DEPENDS=	bash:${PORTSDIR}/shells/bash2
+
+GNU_CONFIGURE=	yes
+CONFIGURE_TARGET=	--build=${MACHINE_ARCH}-portbld-freebsd${OSREL}
+
+PROGRAMS=	bayesol dbacl mailinspect
+SCRIPTS=	mailcross
+MAN1=		bayesol.1 dbacl.1 mailcross.1 mailinspect.1
+DOCS=		AUTHORS ChangeLog README dbacl.ps email.html tutorial.html
+EXAMPLES=	sample*.txt japanese.txt example*.risk toy.risk prop.pl
+
+do-install:
+	@${MKDIR} ${EXAMPLESDIR}
+	cd ${WRKSRC} && \
+		${INSTALL_PROGRAM} ${PROGRAMS} ${PREFIX}/bin && \
+		${INSTALL_SCRIPT} ${SCRIPTS} ${PREFIX}/bin && \
+		${INSTALL_MAN} ${MAN1} ${MANPREFIX}/man/man1 && \
+		${INSTALL_DATA} ${EXAMPLES} ${EXAMPLESDIR}
+.if !defined(NOPORTDOCS)
+	@${MKDIR} ${DOCSDIR}
+	cd ${WRKSRC} && ${INSTALL_DATA} ${DOCS} ${DOCSDIR}
+.endif
+
+.include <bsd.port.mk>
diff --git a/textproc/dbacl/distinfo b/textproc/dbacl/distinfo
new file mode 100644
index 000000000000..181725f54ef1
--- /dev/null
+++ b/textproc/dbacl/distinfo
@@ -0,0 +1 @@
+MD5 (dbacl-1.4.tar.gz) = 4505b6c1e16f3abf2613a5281240dab1
diff --git a/textproc/dbacl/pkg-descr b/textproc/dbacl/pkg-descr
new file mode 100644
index 000000000000..59d38cbfbb90
--- /dev/null
+++ b/textproc/dbacl/pkg-descr
@@ -0,0 +1,11 @@
+dbacl is a digramic Bayesian text classifier. Given some text, 
+it calculates the posterior probabilities that the input resembles 
+one of any number of previously learned document collections. 
+It can be used to sort incoming email into arbitrary categories 
+such as spam, work, and play, or simply to distinguish an English text 
+from a French text. It fully supports international character sets, 
+and uses sophisticated statistical models based on the 
+Maximum Entropy Principle. 
+
+Author:	Laird A. Breyer <laird@lbreyer.com>
+WWW:	http://dbacl.sourceforge.net/
diff --git a/textproc/dbacl/pkg-plist b/textproc/dbacl/pkg-plist
new file mode 100644
index 000000000000..1b119b242c24
--- /dev/null
+++ b/textproc/dbacl/pkg-plist
@@ -0,0 +1,25 @@
+@comment $FreeBSD$
+bin/bayesol
+bin/dbacl
+bin/mailcross
+bin/mailinspect
+%%PORTDOCS%%%%DOCSDIR%%/AUTHORS
+%%PORTDOCS%%%%DOCSDIR%%/ChangeLog
+%%PORTDOCS%%%%DOCSDIR%%/README
+%%PORTDOCS%%%%DOCSDIR%%/dbacl.ps
+%%PORTDOCS%%%%DOCSDIR%%/email.html
+%%PORTDOCS%%%%DOCSDIR%%/tutorial.html
+%%PORTDOCS%%@dirrm %%DOCSDIR%%
+%%EXAMPLESDIR%%/example1.risk
+%%EXAMPLESDIR%%/example2.risk
+%%EXAMPLESDIR%%/example3.risk
+%%EXAMPLESDIR%%/japanese.txt
+%%EXAMPLESDIR%%/prop.pl
+%%EXAMPLESDIR%%/sample1.txt
+%%EXAMPLESDIR%%/sample2.txt
+%%EXAMPLESDIR%%/sample3.txt
+%%EXAMPLESDIR%%/sample4.txt
+%%EXAMPLESDIR%%/sample5.txt
+%%EXAMPLESDIR%%/sample6.txt
+%%EXAMPLESDIR%%/toy.risk
+@dirrm %%EXAMPLESDIR%%