Skip site navigation (1)Skip section navigation (2)
Date:      Tue, 13 Jun 2017 21:02:46 +0000 (UTC)
From:      Rene Ladan <rene@FreeBSD.org>
To:        ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org
Subject:   svn commit: r443539 - in head/textproc: . py-stemming
Message-ID:  <201706132102.v5DL2kZb089159@repo.freebsd.org>

next in thread | raw e-mail | index | archive | help
Author: rene
Date: Tue Jun 13 21:02:46 2017
New Revision: 443539
URL: https://svnweb.freebsd.org/changeset/ports/443539

Log:
  Python implementations of the Porter, Porter2, Paice-Husk, and Lovins stemming
  algorithms for English. These implementations are straightforward and
  efficient, unlike some Python versions of the same algorithms available on the
  Web. This package is an extraction of the stemming code included in the Whoosh
  search engine.
  
  Note that these are *pure Python* implementations. Python wrappers for, e.g.
  the Snoball stemmers and the C implementation of the Porter stemmer are
  available on PyPI and will be faster if using compiled code is an option for
  you.
  
  Stemming algorithms attempt to automatically remove suffixes (and in some
  cases prefixes) in order to find the "root word" or stem of a given word. This
  is useful in various natural language processing scenarios, such as search.
  
  In general ``porter2`` is the best overall stemming algorithm, but not
  necessarily the fastest or most aggressive.
  
  WWW: https://pypi.python.org/pypi/stemming

Added:
  head/textproc/py-stemming/
  head/textproc/py-stemming/Makefile   (contents, props changed)
  head/textproc/py-stemming/distinfo   (contents, props changed)
  head/textproc/py-stemming/pkg-descr   (contents, props changed)
Modified:
  head/textproc/Makefile

Modified: head/textproc/Makefile
==============================================================================
--- head/textproc/Makefile	Tue Jun 13 20:37:06 2017	(r443538)
+++ head/textproc/Makefile	Tue Jun 13 21:02:46 2017	(r443539)
@@ -1339,6 +1339,7 @@
     SUBDIR += py-sphinxcontrib-fulltoc
     SUBDIR += py-sphinxcontrib-httpdomain
     SUBDIR += py-sphinxcontrib-programoutput
+    SUBDIR += py-stemming
     SUBDIR += py-syck
     SUBDIR += py-tabletext
     SUBDIR += py-terminaltables

Added: head/textproc/py-stemming/Makefile
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/textproc/py-stemming/Makefile	Tue Jun 13 21:02:46 2017	(r443539)
@@ -0,0 +1,20 @@
+# Created by: Rene Ladan <rene@FreeBSD.org>
+# $FreeBSD$
+
+PORTNAME=	stemming
+PORTVERSION=	1.0.1
+CATEGORIES=	textproc python
+MASTER_SITES=	CHEESESHOP
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	rene@FreeBSD.org
+COMMENT=	Algorithms for stemming
+
+LICENSE=	PD
+
+USES=		python
+USE_PYTHON=	autoplist distutils
+
+NO_ARCH=	yes
+
+.include <bsd.port.mk>

Added: head/textproc/py-stemming/distinfo
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/textproc/py-stemming/distinfo	Tue Jun 13 21:02:46 2017	(r443539)
@@ -0,0 +1,3 @@
+TIMESTAMP = 1497386383
+SHA256 (stemming-1.0.1.tar.gz) = 59678702e1d06caffecee82910f048edf12ad89dcf430776b4b05bfb8850bc51
+SIZE (stemming-1.0.1.tar.gz) = 10954

Added: head/textproc/py-stemming/pkg-descr
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/textproc/py-stemming/pkg-descr	Tue Jun 13 21:02:46 2017	(r443539)
@@ -0,0 +1,19 @@
+Python implementations of the Porter, Porter2, Paice-Husk, and Lovins stemming
+algorithms for English. These implementations are straightforward and
+efficient, unlike some Python versions of the same algorithms available on the
+Web. This package is an extraction of the stemming code included in the Whoosh
+search engine.
+
+Note that these are *pure Python* implementations. Python wrappers for, e.g.
+the Snoball stemmers and the C implementation of the Porter stemmer are
+available on PyPI and will be faster if using compiled code is an option for
+you.
+
+Stemming algorithms attempt to automatically remove suffixes (and in some
+cases prefixes) in order to find the "root word" or stem of a given word. This
+is useful in various natural language processing scenarios, such as search.
+
+In general ``porter2`` is the best overall stemming algorithm, but not
+necessarily the fastest or most aggressive.
+
+WWW: https://pypi.python.org/pypi/stemming



Want to link to this message? Use this URL: <https://mail-archive.FreeBSD.org/cgi/mid.cgi?201706132102.v5DL2kZb089159>