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A New Evaluation Approach for Sign Language Machine Translation

Record type: Conference or Workshop Item (Paper)

This paper proposes a new evaluation approach for sign language machine translation (SLMT). It aims to show a better correlation between its automatically generated scores and human judgements of translation accuracy. To show the correlation, an Arabic Sign Language (ArSL) corpus has been used for the evaluation experiments and the results obtained by various methods.

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Citation

Almohimeed, Abdulaziz, Wald, Mike and Damper, R. (2009) A New Evaluation Approach for Sign Language Machine Translation In Assistive Technology from Adapted Equipment to Inclusive Environments - AAATE 2009. IOS Press., pp. 498-502.

More information

Published date: 2009
Venue - Dates: conference; 2009-01-01, 2009-01-01
Organisations: Web & Internet Science, Southampton Wireless Group

Identifiers

Local EPrints ID: 268216
URI: http://eprints.soton.ac.uk/id/eprint/268216
PURE UUID: ea09a27b-2fe7-46ab-8fd1-48a0b696e68a

Catalogue record

Date deposited: 15 Nov 2009 12:18
Last modified: 18 Jul 2017 06:56

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Contributors

Author: Abdulaziz Almohimeed
Author: Mike Wald
Author: R. Damper

University divisions


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