The University of Southampton
University of Southampton Institutional Repository

Arabic Text to Arabic Sign Language Translation System for the Deaf and Hearing-Impaired Community

Arabic Text to Arabic Sign Language Translation System for the Deaf and Hearing-Impaired Community
Arabic Text to Arabic Sign Language Translation System for the Deaf and Hearing-Impaired Community
This paper describes a machine translation system that offers many deaf and hearing impaired people the chance to access published information in Arabic by translating text into their first language, Arabic Sign Language (ArSL). The system was created under the close guidance of a team that included three deaf native signers and one ArSL interpreter. We discuss problems inherent in the design and development of such translation systems and review previous ArSL machine translation systems, which all too often demonstrate a lack of collaboration between engineers and the deaf community. We describe and explain in detail both the adapted translation approach chosen for the proposed system and the ArSL corpus that we collected for this purpose. The corpus has 203 signed sentences (with 710 distinct signs) with content restricted to the domain of instructional language as typically used in deaf education. Evaluation shows that the system produces translated sign sentences outputs with an average word error rate of 46.7% and an average position error rate of 29.4% using leave-one out cross validation. The most frequent source of errors is missing signs in the corpus; this could be addressed in future by collecting more corpus material.
text to sign language, sign language translation, ArSL, SL
978-1-937284-14-5
101-109
Almohimeed, Abdulaziz
926b035d-9396-4091-a6cc-8139ebe6b1c0
Wald, M.
90577cfd-35ae-4e4a-9422-5acffecd89d5
Damper, R.I.
6e0e7fdc-57ec-44d4-bc0f-029d17ba441d
Almohimeed, Abdulaziz
926b035d-9396-4091-a6cc-8139ebe6b1c0
Wald, M.
90577cfd-35ae-4e4a-9422-5acffecd89d5
Damper, R.I.
6e0e7fdc-57ec-44d4-bc0f-029d17ba441d

Almohimeed, Abdulaziz, Wald, M. and Damper, R.I. (2011) Arabic Text to Arabic Sign Language Translation System for the Deaf and Hearing-Impaired Community. EMNLP 2011: The Second Workshop on Speech and Language Processing for Assistive Technologies (SLPAT), United Kingdom. pp. 101-109 .

Record type: Conference or Workshop Item (Paper)

Abstract

This paper describes a machine translation system that offers many deaf and hearing impaired people the chance to access published information in Arabic by translating text into their first language, Arabic Sign Language (ArSL). The system was created under the close guidance of a team that included three deaf native signers and one ArSL interpreter. We discuss problems inherent in the design and development of such translation systems and review previous ArSL machine translation systems, which all too often demonstrate a lack of collaboration between engineers and the deaf community. We describe and explain in detail both the adapted translation approach chosen for the proposed system and the ArSL corpus that we collected for this purpose. The corpus has 203 signed sentences (with 710 distinct signs) with content restricted to the domain of instructional language as typically used in deaf education. Evaluation shows that the system produces translated sign sentences outputs with an average word error rate of 46.7% and an average position error rate of 29.4% using leave-one out cross validation. The most frequent source of errors is missing signs in the corpus; this could be addressed in future by collecting more corpus material.

PDF
W11-2311.pdf - Version of Record
Download (7MB)

More information

Published date: 31 July 2011
Additional Information: Event Dates: July 30, 2011
Venue - Dates: EMNLP 2011: The Second Workshop on Speech and Language Processing for Assistive Technologies (SLPAT), United Kingdom, 2011-07-30
Keywords: text to sign language, sign language translation, ArSL, SL
Organisations: Web & Internet Science, Southampton Wireless Group

Identifiers

Local EPrints ID: 272647
URI: https://eprints.soton.ac.uk/id/eprint/272647
ISBN: 978-1-937284-14-5
PURE UUID: a7b276c6-949f-4c0a-9488-07774a4fcf3f

Catalogue record

Date deposited: 08 Aug 2011 13:33
Last modified: 18 Jul 2017 06:21

Export record

Contributors

Author: Abdulaziz Almohimeed
Author: M. Wald
Author: R.I. Damper

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×