Abstract

This research paper presents our ongoing project aiming at translating in real time an Arabic text to Arabic Sign Language (ArSL). This project is a part of a Web application [1] based on the technology of the avatar (animation in the virtual world). The input of the system is a text in natural language. The output is a real-time and online interpretation in sign language [2]. Our work focuses on the Arabic language as the text in the input, which needs many treatments due to the particularity of this language. Our solution starts from the linguistic treatment of the Arabic sentence, passing through the definition and the generation of Arabic Annotation Gloss system and coming finally to the generation of an animated sentence using the avatar technology.

Highlights

  • Sign Language (SL) is a natural language for deaf people

  • Our paper presents a description of our proposed translation system named ArabSTS and based on Arabic Gloss annotation system for Arabic Sign Language (ArSL)

  • Our work focused in the definition of an intermediate representation between Arabic text and ArSL covering the maximum of rules and information necessary for the translation step

Read more

Summary

INTRODUCTION

Sign Language (SL) is a natural language for deaf people. It is a body language used for communication and serves as the same function than spoken language. 25% of the community of deaf person around the world is in the Arabic world [1] This very important number has directed us to try to develop an Arabic system for Arabic deaf people, taking as input, Arabic text, and giving, as a result, an animated sentence using the avatar. In this context, our paper presents a description of our proposed translation system named ArabSTS and based on Arabic Gloss annotation system for ArSL. The fifth section presents the ArabSTS (Arab Sign Language Translating System) with a description of each phase composing our project

RELATED WORK
THE ANNOTATION SYSTEMS
ARABIC LANGUAGE AND PARTICULARITIES
Definition of Arabic Gloss Annotation System
Classifiers in ArSL Gloss
Findings
CONCLUSION
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.