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:
- 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)
- PDF:
- https://link.springer.com/chapter/10.1007/3-540-39965-8_6