Text to Pakistan sign language automation
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Date
2015
Authors
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Journal ISSN
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Publisher
UNIVERSITY OF MANAGEMENT AND TECHNOLOGY
Abstract
In this thesis a Text to Pakistan Sign Language Automation system has been proposed. Respective
system takes an English input sentence and converts it into Pakistan Sign Language sentence. By
considering an effective and efficient use of storage, computation and bandwidth; animation is an
appropriate and sophisticated way to keep Sign Language content on Internet. Out of all present Sign
Language writing notation systems, HamNoSys is an efficient available notation that is not only able to
convert signs into animations but supports non manual features like body, head and shoulders
movement with the help of SiGML markup language. HamNoSys basically symbolize the gestures of signs
present.
Proposed system is not only capable of converting manually input text into its respective PSL version but
it also facilitates a deaf to input any type of content from any web page. Our system is a HamNoSys
based system that is capable of generating animations of corresponding signs in PSL. As a benchmark,
we took videos of PSL.org as standard gestures for our dictionary. Among all Text to Sign Language
conversion approaches we followed Transfer based Translation approach as we are not only translating
input text into PSL but validating and verifying grammar of the converted sentence as well.
Description
Advisor: Nabeel Sabir Baloch Khan (Assistant Professor)
Keywords
BS Thesis, Automation system, Sign language, Pakistan sign language sentence