libexttextcat 3.2.0-1ubuntu1 source package in Ubuntu

Changelog

libexttextcat (3.2.0-1ubuntu1) precise; urgency=low

  * depend on automake, not automake1.7
 -- Bjoern Michaelsen <email address hidden>   Fri, 24 Feb 2012 16:33:30 +0100

Upload details

Uploaded by:
Björn Michaelsen on 2012-02-24
Sponsored by:
Martin Pitt
Uploaded to:
Precise
Original maintainer:
Rene Engelhard
Architectures:
any all
Section:
libs
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Precise release on 2012-03-19 main libs

Downloads

File Size SHA-256 Checksum
libexttextcat_3.2.0.orig.tar.bz2 925.1 KiB 389e95ebf50f32c261185897cca877101eb9e10660e16de4f2dfbe7194ea1a3c
libexttextcat_3.2.0-1ubuntu1.debian.tar.gz 7.0 KiB 78657788a35d47c7700de8b8746b474f649d97b5ce64b12ae8b9121d23c64f3d
libexttextcat_3.2.0-1ubuntu1.dsc 2.0 KiB aa519983f46ab829226116b7834d67b9345e66be2e955802ed190d9475517769

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Binary packages built by this source

createfp: No summary available for createfp in ubuntu quantal.

No description available for createfp in ubuntu quantal.

libexttextcat-data: Language detection library - data files

 Libtextcat is a library with functions that implement the classification
 technic described in Cavnar & Trenkle, "N-Gram-Based Text Categorization".
 It was primarily developed for language guessing, a task on which it is known
 to perform with near-perfect accuracy.
 .
 This package provides the libtextcat data files.

libexttextcat-dev: Language detection library - development files

 Libexttextcat is a library with functions that implement the classification
 technic described in Cavnar & Trenkle, "N-Gram-Based Text Categorization".
 It was primarily developed for language guessing, a task on which it is known
 to perform with near-perfect accuracy.
 .
 This package provides the files needed for building packages which use
 libexttextcat.

libexttextcat0: Language detection library

 Libtextcat is a library with functions that implement the classification
 technic described in Cavnar & Trenkle, "N-Gram-Based Text Categorization".
 It was primarily developed for language guessing, a task on which it is known
 to perform with near-perfect accuracy.