Center for Human Modeling and Simulation
Document Type
Conference Paper
Date of this Version
October 2000
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.
Recommended Citation
Zhao, L., Kipper, K., Schuler, W., Vogler, C., Palmer, M., & Badler, N. I. (2000). A Machine Translation System from English to American Sign Language. Retrieved from https://repository.upenn.edu/hms/109
Date Posted: 19 May 2008
This document has been peer reviewed.
Comments
Postprint version. Published in Lecture Notes in Computer Science, Volume 1934, Envisioning Machine Translation in the Information Future 4th Conference of the Association for Machine Translation in the Americas, 2000, pages 54-67.
Publisher URL: http://www.springerlink.com/content/5d0gl1menac989rk/