A machine translation system from English to American Sign Language

Liwei Zhao, Karin Kipper, William Schuler, Christian Vogler, Norman Badler, Martha Palmer


Abstract
Research in computational linguistics, computer graphics and autonomous agents has led to the development of increasingly sophisticated communicative agents over the past few years, bringing new perspective to machine translation research. The engineering of language- based smooth, expressive, natural-looking human gestures can give us useful insights into the design principles that have evolved in natural communication between people. In this paper we prototype a machine translation system from English to American Sign Language (ASL), taking into account not only linguistic but also visual and spatial information associated with ASL signs.
Anthology ID:
2000.amta-papers.6
Volume:
Proceedings of the Fourth Conference of the Association for Machine Translation in the Americas: Technical Papers
Month:
October 10-14
Year:
2000
Address:
Cuernavaca, Mexico
Editor:
John S. White
Venue:
AMTA
SIG:
Publisher:
Springer
Note:
Pages:
54–67
Language:
URL:
https://link.springer.com/chapter/10.1007/3-540-39965-8_6
DOI:
Bibkey:
Cite (ACL):
Liwei Zhao, Karin Kipper, William Schuler, Christian Vogler, Norman Badler, and Martha Palmer. 2000. A machine translation system from English to American Sign Language. In Proceedings of the Fourth Conference of the Association for Machine Translation in the Americas: Technical Papers, pages 54–67, Cuernavaca, Mexico. Springer.
Cite (Informal):
A machine translation system from English to American Sign Language (Zhao et al., AMTA 2000)
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PDF:
https://link.springer.com/chapter/10.1007/3-540-39965-8_6