A Machine Translation System from English to American Sign Language
Author(s) -
Zhao Li-wei,
Karin Kipper,
William Schuler,
Christian Vogler,
Norman I. Badler,
Martha Palmer
Publication year - 2000
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-41117-8
DOI - 10.1007/3-540-39965-8_6
Subject(s) - computer science , machine translation , gesture , american sign language , perspective (graphical) , sign language , natural language , sign (mathematics) , natural language processing , artificial intelligence , graphics , natural (archaeology) , linguistics , human–computer interaction , computer graphics (images) , mathematical analysis , archaeology , history , philosophy , mathematics
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.
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