mirror/freebsd-ports
1
0
Fork 0
mirror of https://git.FreeBSD.org/ports.git synced 2025-01-24 09:25:01 +00:00
Code Issues Releases Activity
7f19f25c80
freebsd-ports/textproc/pystemmer/Makefile

23 lines
491 B
Makefile
Raw Normal View History

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 It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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/ PR: ports/132695 Submitted by: Wen Heping <wenheping at gmail.com>
2009-03-16 21:47:30 +00:00
# New ports collection makefile for: pystemmer
# Date created: 2009-03-17
# Whom: Wen Heping <wenheping@gmail.com>
#
# $FreeBSD$
#
PORTNAME= pystemmer
- Update to 1.1.0 - Update my mail address to FreeBSD
2009-11-06 06:22:04 +00:00
PORTVERSION= 1.1.0
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 It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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/ PR: ports/132695 Submitted by: Wen Heping <wenheping at gmail.com>
2009-03-16 21:47:30 +00:00
CATEGORIES= textproc python
- Update to 1.1.0 - Update my mail address to FreeBSD
2009-11-06 06:22:04 +00:00
MASTER_SITES= CHEESESHOP \
http://snowball.tartarus.org/wrappers/
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/ PR: ports/132695 Submitted by: Wen Heping <wenheping at gmail.com>
2009-03-16 21:47:30 +00:00
DISTNAME= PyStemmer-${PORTVERSION}
- Update to 1.1.0 - Update my mail address to FreeBSD
2009-11-06 06:22:04 +00:00
MAINTAINER= wen@FreeBSD.org
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/ PR: ports/132695 Submitted by: Wen Heping <wenheping at gmail.com>
2009-03-16 21:47:30 +00:00
COMMENT= Snowball Stemming Algorithms for Information Retrieval
USE_PYTHON= yes
USE_PYDISTUTILS= yes
PYDISTUTILS_PKGNAME= PyStemmer
.include <bsd.port.mk>
Reference in New Issue Copy Permalink