r58802 - in /trunk/liblingua-en-tagger-perl/debian: changelog control

gregoa at users.alioth.debian.org gregoa at users.alioth.debian.org
Thu Jun 3 13:11:39 UTC 2010


Author: gregoa
Date: Thu Jun  3 13:11:23 2010
New Revision: 58802

URL: http://svn.debian.org/wsvn/pkg-perl/?sc=1&rev=58802
Log:
add TODO to changelog

Modified:
    trunk/liblingua-en-tagger-perl/debian/changelog
    trunk/liblingua-en-tagger-perl/debian/control

Modified: trunk/liblingua-en-tagger-perl/debian/changelog
URL: http://svn.debian.org/wsvn/pkg-perl/trunk/liblingua-en-tagger-perl/debian/changelog?rev=58802&op=diff
==============================================================================
--- trunk/liblingua-en-tagger-perl/debian/changelog (original)
+++ trunk/liblingua-en-tagger-perl/debian/changelog Thu Jun  3 13:11:23 2010
@@ -1,10 +1,15 @@
 liblingua-en-tagger-perl (0.16-1) UNRELEASED; urgency=low
+
+  TODO:
+  I _guess_ this package should be arch:any (cf.
+  libdbix-class-schema-loader-perl's d/changelog)
 
   * New upstream release.
   * Refresh patch fix-pod-errors.
   * Add /me to Uploaders.
   * Update debian/copyright to the information now included in the upstream
     source.
+  * Adjust short description.
 
  -- gregor herrmann <gregoa at debian.org>  Thu, 03 Jun 2010 14:46:37 +0200
 

Modified: trunk/liblingua-en-tagger-perl/debian/control
URL: http://svn.debian.org/wsvn/pkg-perl/trunk/liblingua-en-tagger-perl/debian/control?rev=58802&op=diff
==============================================================================
--- trunk/liblingua-en-tagger-perl/debian/control (original)
+++ trunk/liblingua-en-tagger-perl/debian/control Thu Jun  3 13:11:23 2010
@@ -16,7 +16,7 @@
 Architecture: all
 Depends: ${misc:Depends}, ${perl:Depends}, libhtml-parser-perl (>= 3.45),
  liblingua-stem-perl (>= 0.81), libmemoize-expirelru-perl (>= 0.55), perl
-Description: Part-of-speech tagger for English natural language processing.
+Description: part-of-speech tagger for English natural language processing
  Lingua::EN::Tagger is a perl module which implements a probability based,
  corpus-trained tagger that assigns POS tags to English text based on a lookup
  dictionary and a set of probability values. The tagger assigns appropriate




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