Paper Details: Downloads: 410
Serial Number: P1120615113
Title: Automatic Translation of Arabic Text to Arabic Sign Language
Authors: Mohamed Mohandes
Abstract: There have been a lot of efforts invested on translating sign languages to spoken languages. However, it is just as important to translate a spoken language to a sign language. This would provide a two-way communication between deaf and vocal people. This paper proposes a system that translates Arabic text to Arabic sign language. Words that corresponds to signs from the Arabic sign language dictionary calls a pre-recorded video clip showing the sign that is played on the monitor of a portable computer. If the word does not have a corresponding sign in the sign language dictionary, it is finger spelled. This is done in real life by deaf for words that do not have specific signs like proper names. The size of each video clip is reduced to about 25-30 KB so that they can be downloaded on the Internet in a reasonable time (2-3) seconds. The system is accessible for public at the site http://naas.itc.kfupm.edu.sa:8080/SignsApp/. The system can also be used to teach deaf or their relatives the Arabic Sign Language.
Keywords: Automatic Translation of Arabic Text to Arabic Sign Language
Journal/Conference: ICGST Conference on Artificial Intelligence and Machine Learning, AIML-06
Volume: 6
Issue: C1
Submission Date: 3/1/2006 12:00:00 AM
Review Date: 4/1/2006 12:00:00 AM
Publishing Date: 6/15/2006 12:00:00 AM
Article Downloads: 410
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