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Source: dasher
Section: x11
Priority: optional
Maintainer: Debian Accessibility Team <pkg-a11y-devel@alioth-lists.debian.net>
Uploaders: Thibaut Paumard <thibaut@debian.org>, Samuel Thibault <sthibault@debian.org>
Vcs-Git: https://salsa.debian.org/a11y-team/dasher.git
Vcs-Browser: https://salsa.debian.org/a11y-team/dasher
Build-Depends: debhelper-compat (= 12),
gnome-common,
gnome-pkg-tools (>= 0.6),
intltool (>= 0.40.1),
libglib2.0-dev (>= 2.16.0),
libcairo2-dev,
libgtk-3-dev,
libexpat1-dev,
libatspi2.0-dev,
libspeechd-dev,
yelp-tools,
docbook-xml
Standards-Version: 4.5.0
Homepage: http://www.inference.phy.cam.ac.uk/dasher/
Package: dasher
Architecture: any
Depends: ${misc:Depends},
${shlibs:Depends},
libatk-adaptor,
dasher-data (= ${source:Version})
Description: graphical predictive text input system
Dasher is an information-efficient text-entry interface, driven by natural
continuous pointing gestures. Dasher is a competitive text-entry system
wherever a full-size keyboard cannot be used - for example,
.
* on a palmtop computer
* on a wearable computer
* when operating a computer one-handed, by joystick, touchscreen, trackball,
or mouse
* when operating a computer with zero hands (i.e., by head-mouse or by
eyetracker).
.
The eyetracking version of Dasher allows an experienced user to write text
as fast as normal handwriting - 25 words per minute; using a mouse,
experienced users can write at 39 words per minute.
.
Dasher uses a more advanced prediction algorithm than the T9(tm) system
often used in mobile phones, making it sensitive to surrounding context.
Package: dasher-data
Architecture: all
Multi-arch: foreign
Depends: ${misc:Depends}
Recommends: dasher
Description: Data files for dasher
Dasher is an information-efficient text-entry interface, driven by natural
continuous pointing gestures. Dasher is a competitive text-entry system
wherever a full-size keyboard cannot be used .
.
This package contains various arch-independent data files for dasher:
* alphabet descriptions for all languages
* letter colours settings
* training files in all languages
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