Date: Mon, 16 Mar 2009 13:08:45 GMT From: Wen Heping <wenheping@gmail.com> To: freebsd-gnats-submit@FreeBSD.org Subject: ports/132695: [NEW PORT]textproc/pystemmer:Snowball Stemming Algorithms for Information Retrieval Message-ID: <200903161308.n2GD8jbk097190@www.freebsd.org> Resent-Message-ID: <200903161310.n2GDA1KK002996@freefall.freebsd.org>
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>Number: 132695 >Category: ports >Synopsis: [NEW PORT]textproc/pystemmer:Snowball Stemming Algorithms for Information Retrieval >Confidential: no >Severity: non-critical >Priority: low >Responsible: freebsd-ports-bugs >State: open >Quarter: >Keywords: >Date-Required: >Class: change-request >Submitter-Id: current-users >Arrival-Date: Mon Mar 16 13:10:01 UTC 2009 >Closed-Date: >Last-Modified: >Originator: Wen Heping >Release: FreeBSD 8.0-CURRENT >Organization: ChangAn Middle School >Environment: FreeBSD fb8.wenjing.com 8.0-CURRENT-200811 FreeBSD 8.0-CURRENT-200811 #0: Thu Nov 6 00:32:12 UTC 2008 root@almeida.cse.buffalo.edu:/usr/obj/usr/src/sys/GENERIC i386 >Description: PyStemmer provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". PyStemmer provides algorithms for several (mainly european) languages, by wrapping the libstemmer library from the Snowball project in a Python module. It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments. WWW: http://pypi.python.org/pypi/PyStemmer/ >How-To-Repeat: >Fix: Patch attached with submission follows: # This is a shell archive. Save it in a file, remove anything before # this line, and then unpack it by entering "sh file". Note, it may # create directories; files and directories will be owned by you and # have default permissions. # # This archive contains: # # pystemmer # pystemmer/pkg-plist # pystemmer/pkg-descr # pystemmer/distinfo # pystemmer/Makefile # echo c - pystemmer mkdir -p pystemmer > /dev/null 2>&1 echo x - pystemmer/pkg-plist sed 's/^X//' >pystemmer/pkg-plist << 'f6776613564d7cdaeeefb4698a1823b1' X%%PYTHON_SITELIBDIR%%/Stemmer.so f6776613564d7cdaeeefb4698a1823b1 echo x - pystemmer/pkg-descr sed 's/^X//' >pystemmer/pkg-descr << '564f59275c4afb38392523b797a7af32' XPyStemmer provides access to efficient algorithms for calculating a X"stemmed" form of a word. This is a form with most of the common Xmorphological endings removed; hopefully representing a common Xlinguistic base form. This is most useful in building search engines Xand information retrieval software; for example, a search with stemming Xenabled should be able to find a document containing "cycling" given the Xquery "cycles". X XPyStemmer provides algorithms for several (mainly european) languages, Xby wrapping the libstemmer library from the Snowball project in a Python Xmodule. It also provides access to the classic Porter stemming algorithm Xfor english: although this has been superceded by an improved algorithm, Xthe original algorithm may be of interest to information retrieval Xresearchers wishing to reproduce results of earlier experiments. X XWWW: http://pypi.python.org/pypi/PyStemmer/ 564f59275c4afb38392523b797a7af32 echo x - pystemmer/distinfo sed 's/^X//' >pystemmer/distinfo << '71cf3afae5a1d2b9aca66434d3497a4b' XMD5 (PyStemmer-1.0.1.tar.gz) = 5fb09517161de1792b2fc1fd8844038b XSHA256 (PyStemmer-1.0.1.tar.gz) = 08f0d64e7c49b77cb0f44937c25a04ed17ea1b9db3d830d47a02d2717ae89ebe XSIZE (PyStemmer-1.0.1.tar.gz) = 331212 71cf3afae5a1d2b9aca66434d3497a4b echo x - pystemmer/Makefile sed 's/^X//' >pystemmer/Makefile << 'caff683fe7d0e1d270effb50522ae638' X# New ports collection makefile for: pystemmer X# Date created: 2009-03-17 X# Whom: Wen Heping <wenheping@gmail.com> X# X# $FreeBSD$ X# X XPORTNAME= pystemmer XPORTVERSION= 1.0.1 XCATEGORIES= textproc python XMASTER_SITES= http://snowball.tartarus.org/wrappers/ XDISTNAME= PyStemmer-${PORTVERSION} X XMAINTAINER= wenheping@gmail.com XCOMMENT= Snowball Stemming Algorithms for Information Retrieval X XUSE_PYTHON= yes XUSE_PYDISTUTILS= yes XPYDISTUTILS_PKGNAME= PyStemmer X X.include <bsd.port.mk> caff683fe7d0e1d270effb50522ae638 exit >Release-Note: >Audit-Trail: >Unformatted:
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