Statistical sign language machine translation: from english written text to american sign language gloss

Accessibility & Assistive Technology , Publications Sep 19, 2011 No Comments
Statistical Machine Translation for sign language

This works aims to design a statistical machine translation from English text to American Sign Language (ASL). The system is based on Moses tool with some modifications and the results are synthesized through a 3D avatar for interpretation. First, we translate the input text to gloss, a written form of ASL. Second, we pass the output to the WebSign Plug-in to play the sign. Contributions of this work are the use of a new couple of language English/ASL and an improvement of statistical machine translation based on string matching thanks to Jaro-distance.

 

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Achraf Othman

Dr. Achraf is a senior research specialist in Accessibility and Assistive Technology for People with disabilities and Machine Translation and Machine Learning.