./textproc/CRF++, Yet Another CRF toolkit

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Branch: CURRENT, Version: 0.58, Package name: CRF++-0.58, Maintainer: pkgsrc-users

CRF++ is a simple, customizable, and open source implementation of Conditional
Random Fields (CRFs) for segmenting/labeling sequential data. CRF++ is designed
for generic purpose and will be applied to a variety of NLP tasks, such as Named
Entity Recognition, Information Extraction and Text Chunking.


Master sites:

SHA1: 979a686a6d73d14cdd0c96a310888fb6bffd2e91
RMD160: 3c70d129f06d88e13ece94d505dd417668f0a7bc
Filesize: 772.041 KB

Version history: (Expand)


CVS history: (Expand)


   2016-02-26 11:32:47 by Jonathan Perkin | Files touched by this commit (7)
Log message:
Use OPSYSVARS.
   2015-11-04 03:00:17 by Alistair G. Crooks | Files touched by this commit (797)
Log message:
Add SHA512 digests for distfiles for textproc category

Problems found locating distfiles:
	Package cabocha: missing distfile cabocha-0.68.tar.bz2
	Package convertlit: missing distfile clit18src.zip
	Package php-enchant: missing distfile php-enchant/enchant-1.1.0.tgz

Otherwise, existing SHA1 digests verified and found to be the same on
the machine holding the existing distfiles (morden).  All existing
SHA1 digests retained for now as an audit trail.
   2015-05-11 16:58:24 by Makoto Fujiwara | Files touched by this commit (1) | Package updated
Log message:
Update HOMEPAGE, code.google.com gets obsolete.
   2015-03-15 19:31:53 by Hiramatsu Yoshifumi | Files touched by this commit (9)
Log message:
Set MAINTAINER to pkgsrc-users.
   2013-06-09 09:02:14 by OBATA Akio | Files touched by this commit (1)
Log message:
gmake is required for SunOS.
   2013-05-22 15:07:47 by OBATA Akio | Files touched by this commit (7)
Log message:
Import CRF++-0.58 as textproc/CRF++.

CRF++ is a simple, customizable, and open source implementation of Conditional
Random Fields (CRFs) for segmenting/labeling sequential data. CRF++ is designed
for generic purpose and will be applied to a variety of NLP tasks, such as Named
Entity Recognition, Information Extraction and Text Chunking.