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>
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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
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