[libexttextcat] 01/01: fix typo: s/Libextttextcat/Libexttextcat/ (closes: #837772)

Rene Engelhard rene at moszumanska.debian.org
Wed Sep 14 21:21:05 UTC 2016


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rene pushed a commit to branch master
in repository libexttextcat.

commit e4dc3a87a95799b6467ef3c559d25a0a0da14c32
Author: Rene Engelhard <rene at rene-engelhard.de>
Date:   Wed Sep 14 23:20:54 2016 +0200

    fix typo: s/Libextttextcat/Libexttextcat/ (closes: #837772)
---
 debian/control | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/debian/control b/debian/control
index b82ef8f..db871d0 100644
--- a/debian/control
+++ b/debian/control
@@ -14,7 +14,7 @@ Multi-Arch: same
 Pre-Depends: ${misc:Pre-Depends}
 Depends: ${shlibs:Depends}, ${misc:Depends}, libexttextcat-data (= ${source:Version})
 Description: Language detection library
- Libextttextcat is a library with functions that implement the classification
+ Libexttextcat is a library with functions that implement the classification
  technique 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.
@@ -39,7 +39,7 @@ Architecture: all
 Multi-Arch: foreign
 Depends: ${misc:Depends}
 Description: Language detection library - data files
- Libextttextcat is a library with functions that implement the classification
+ Libexttextcat is a library with functions that implement the classification
  technique 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.
@@ -51,7 +51,7 @@ Section: utils
 Architecture: any
 Depends: ${shlibs:Depends}, ${misc:Depends}
 Description: Language detection library - fingerprint generation utility
- Libextttextcat is a library with functions that implement the classification
+ Libexttextcat is a library with functions that implement the classification
  technique 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.

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