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Title |
Fully-Automated English Text to Arabic Sign Language Translator |
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Author |
Asmaa Hosni |
| Citation |
Vol. 24 No. 12 pp. 149-159 |
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Abstract |
The sign language is considered very important because it is the native language of many deaf people in the world. In this paper, we proposed and implemented a fully-automated and functional translation system that aims to translate from input English Text to Arabic Sign Language (ArSL). Our system is fully-automated, meaning that the system does not need a human operator to apply the signs. In this system, the input English sentence is first translated into a simple Arabic sentence to preserve the grammars of the Arabic language. Then the translator generates a sentence that is fit for the language of Arabic deaf people (ArSL is a language in its own). Then, this deaf Arabic sentence is the sentence to be animated later on the display. Finally, the proposed system uses a combination of hand shapes, positions and movements as well as simple facial expressions in graphically animating the ArSL signs smoothly on the display. This system is mainly implemented to be an education tool for Arabic deaf children. However, it can provide an adequate translation for certain situations like conferences and public places like, restaurants, railway stations and airports, as well as a tool for learning signs for non-signers. Also, it can help deaf Arabic people with less English capability to browse the internet. It could also be useful in emergency situations such as fires and calls in hospitals or police stations, where urgent information could be conveyed without having to wait for a human translator. |
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Keywords |
Sign language, Deaf, Automatic translator, Computer graphics. |
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