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History of commit frequency

CVS Commit History:


   2014-01-25 11:30:32 by Thomas Klausner | Files touched by this commit (533) | Package updated
Log message:
Mark packages as not ready for python-3.x where applicable;
either because they themselves are not ready or because a
dependency isn't. This is annotated by
PYTHON_VERSIONS_INCOMPATIBLE=  33 # not yet ported as of x.y.z
or
PYTHON_VERSIONS_INCOMPATIBLE=  33 # py-foo, py-bar
respectively, please use the same style for other packages,
and check during updates.

Use versioned_dependencies.mk where applicable.
Use REPLACE_PYTHON instead of handcoded alternatives, where applicable.
Reorder Makefile sections into standard order, where applicable.

Remove PYTHON_VERSIONS_INCLUDE_3X lines since that will be default
with the next commit.

Whitespace cleanups and other nits corrected, where necessary.
   2013-05-22 15:14:30 by OBATA Akio | Files touched by this commit (15)
Log message:
Update cabocha to 0.66.

ChaSen is not supported anymore, using MeCab.
and use CRF++ instead of YamCha.
   2012-10-25 08:57:09 by Aleksej Saushev | Files touched by this commit (587)
Log message:
Drop superfluous PKG_DESTDIR_SUPPORT, "user-destdir" is default these days.
   2012-04-08 22:22:01 by Thomas Klausner | Files touched by this commit (148)
Log message:
All supported python versions in pkgsrc support eggs, so remove
${PLIST.eggfile} from PLISTs and support code from lang/python.
   2012-02-07 12:05:01 by OBATA Akio | Files touched by this commit (2)
Log message:
distutils pkg, register egg-info.

Bump PKGREVISION.
   2010-05-19 14:37:04 by OBATA Akio | Files touched by this commit (3) | Imported package
Log message:
Import py-cabocha-0.53 as textproc/py-cabocha.

CaboCha is a Japanese dependency analysis machine based on Support Vector
Machines. It is (89.29%) system that accuracy is the highest as a statistical
Japanese dependency analysis machine as of June, 2001. Moreover, definite
analytical algorithm (Cascaded Chunking Model) that doesn't do back-track is
adopted, and an efficient analysis can be done comparatively.

This package is python module for CaboCha.


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