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

Tariq Jamil

doi:10.1109/CCECE47787.2020.9255774

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 proceeding › Conference contribution

8 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 language	English
Title of host publication	2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728154428
DOIs	https://doi.org/10.1109/CCECE47787.2020.9255774
Publication status	Published - Aug 30 2020
Externally published	Yes
Event	2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020 - London, Canada Duration: Aug 30 2020 → Sept 2 2020

Publication series

Name	Canadian Conference on Electrical and Computer Engineering
Volume	2020-August
ISSN (Print)	0840-7789

Conference

Conference	2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020
Country/Territory	Canada
City	London
Period	8/30/20 → 9/2/20

Keywords

Arabic
interpreter
sign language
text
translator

ASJC Scopus subject areas

Hardware and Architecture
Electrical and Electronic Engineering

Access to Document

10.1109/CCECE47787.2020.9255774

Cite this

Jamil, T. (2020). Design and Implementation of an Intelligent System to translate Arabic Text into Arabic Sign Language. In 2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020 Article 9255774 (Canadian Conference on Electrical and Computer Engineering; Vol. 2020-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCECE47787.2020.9255774

Design and Implementation of an Intelligent System to translate Arabic Text into Arabic Sign Language. / Jamil, Tariq.
2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9255774 (Canadian Conference on Electrical and Computer Engineering; Vol. 2020-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jamil, T 2020, Design and Implementation of an Intelligent System to translate Arabic Text into Arabic Sign Language. in 2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020., 9255774, Canadian Conference on Electrical and Computer Engineering, vol. 2020-August, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020, London, Canada, 8/30/20. https://doi.org/10.1109/CCECE47787.2020.9255774

@inproceedings{01430056c71f477295d4cf674cd0c606,

title = "Design and Implementation of an Intelligent System to translate Arabic Text into Arabic Sign Language",

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.",

keywords = "Arabic, interpreter, sign language, text, translator",

author = "Tariq Jamil",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020 ; Conference date: 30-08-2020 Through 02-09-2020",

year = "2020",

month = aug,

day = "30",

doi = "10.1109/CCECE47787.2020.9255774",

language = "English",

series = "Canadian Conference on Electrical and Computer Engineering",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020",

}

TY - GEN

T1 - Design and Implementation of an Intelligent System to translate Arabic Text into Arabic Sign Language

AU - Jamil, Tariq

PY - 2020/8/30

Y1 - 2020/8/30

N2 - 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.

AB - 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.

KW - Arabic

KW - interpreter

KW - sign language

KW - text

KW - translator

UR - http://www.scopus.com/inward/record.url?scp=85097851519&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85097851519&partnerID=8YFLogxK

U2 - 10.1109/CCECE47787.2020.9255774

DO - 10.1109/CCECE47787.2020.9255774

M3 - Conference contribution

AN - SCOPUS:85097851519

T3 - Canadian Conference on Electrical and Computer Engineering

BT - 2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020

Y2 - 30 August 2020 through 2 September 2020

ER -

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this