Design and Implementation of an Intelligent System to translate Arabic Text into Arabic Sign Language

Tariq Jamil*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Sign Language is a widely known medium of communication used by the deaf, hard of hearing individuals, and those who are unable to speak physically because of any reason. There is no common or universal version of sign language. This is especially true for Arabic Sign Language (ArSL) which has various versions depending on the Arab country where it is being used. In this paper, we have designed an intelligent system which can parse Arabic text, keeping in mind the context of the text, and then translate the text into Arabic Sign Language. Preliminary testing of the system has shown an overall accuracy of 85% in correctly translating Arabic words into the Arabic Sign Language.

Original languageEnglish
Title of host publication2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728154428
DOIs
Publication statusPublished - Aug 30 2020
Externally publishedYes
Event2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020 - London, Canada
Duration: Aug 30 2020Sep 2 2020

Publication series

NameCanadian Conference on Electrical and Computer Engineering
Volume2020-August
ISSN (Print)0840-7789

Conference

Conference2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020
Country/TerritoryCanada
CityLondon
Period8/30/209/2/20

Keywords

  • Arabic
  • interpreter
  • sign language
  • text
  • translator

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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