A multi-path architecture for machine translation of English text into American Sign Language animation

Authors:
Matt Huenerfauth
Affiliations:
University of Pennsylvania, Philadelphia, PA
Venue:
HLT-SRWS '04 Proceedings of the Student Research Workshop at HLT-NAACL 2004
Year:
2004

Citing 2
Cited 5

Dynamically altering agent behaviors using natural language instructions

AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Representation of actions as an interlingua

NAACL-ANLP-Interlinguas '00 Proceedings of the 2000 NAACL-ANLP Workshop on Applied interlinguas: practical applications of interlingual approaches to NLP - Volume 2

American Sign Language natural language generation and machine translation

ACM SIGACCESS Accessibility and Computing
The South African sign language machine translation project: issues on non-manual sign generation

SAICSIT '06 Proceedings of the 2006 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries
Intelligent Thai text - Thai sign translation for language learning

Computers & Education
American sign language generation: multimodal NLG with multiple linguistic channels

ACLstudent '05 Proceedings of the ACL Student Research Workshop
Czech-Sign speech corpus for semantic based machine translation

TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue

Quantified Score

Hi-index	0.00

Visualization

Abstract

The translation of English text into American Sign Language (ASL) animation tests the limits of traditional MT architectural designs. A new semantic representation is proposed that uses virtual reality 3D scene modeling software to produce spatially complex ASL phenomena called "classifier predicates." The model acts as an interlingua within a new multi-pathway MT architecture design that also incorporates transfer and direct approaches into a single system.