Commit graph

7 commits

Author SHA1 Message Date
agc
2eddae48e5 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.
2015-11-04 01:59:17 +00:00
mef
150ab87d9d Update 0.11 to 0.14
-------------------
0.14 Thu Nov 6 EST 2014
    - Added set_option.

0.13 Wed Nov 5 2014
    - Fixed tests : some dictionaries apparently have coordinator

0.12 Mon Nov 3 2014
    - Fixes for unicode letters (thanks, Chankey Pathak)
2015-05-10 02:51:47 +00:00
hiramatsu
a92671b04a Update p5-Text-SpellChecker to 0.11.
Changes from previous:
0.11 Fri Jun 24 2011
    - pod fixes and pod test

0.09  Thu Jun 23 2011
    - Better tests, use of LANG
    - Compile time check for at least one speller.
2011-10-12 11:14:23 +00:00
sno
f718f031aa Updating textproc/p5-Text-SpellChecker from 0.07 to 0.08
Upstream changes:
None noted
2010-09-22 05:48:20 +00:00
wiz
0cc513842b Update to 0.07 (nothing changed wrt to hunspell in pkgsrc):
0.06  Tue Sep 14 2010
    - made deserialization accept non-blessed refs

0.07  Wed Sep 15 2010
    - optional hunspell support
2010-09-19 11:04:47 +00:00
he
b416e4cd07 Update from version 0.03 to 0.05.
Upstream changes:

0.05  Mon Dec 15 2008
    - skip some tests when missing English dictionary
    - added license

0.04  Sun Dec 14 2008
    - patch by Yanick Champoux with three changes :
    - lang option
    - cached Text::Aspell object
    - made suggestions() context-aware
2009-01-11 16:42:01 +00:00
he
548bd4e7a5 Import p5-Text-SpellChecker version 0.03.
This module is built on Text::Aspell, but adds some of the
functionality provided by the internal gnu aspell API. This allows
one to deal with blocks of text, rather than just words. For
instance, we provide methods for iterating through the text,
serializing the object (thus remembering where we left off), and
highlighting the current misspelled word within the text.
2008-11-18 05:29:18 +00:00