Domain portability in speech-to-speech translation

Authors:
Alon Lavie;Lori Levin;Tanja Schultz;Chad Langley;Benjamin Han;Alicia Tribble;Donna Gates;Dorcas Wallace;Kay Peterson
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA
Venue:
HLT '01 Proceedings of the first international conference on Human language technology research
Year:
2001

Citing 6
Cited 2

The Janus-III Translation System: Speech-to-Speech Translation in Multiple Domains

Machine Translation
Interactive Translation of Conversational Speech

Computer
Recognition of Conversational Telephone Speech using the Janus Speech Engine

ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
Advances in meeting recognition

HLT '01 Proceedings of the first international conference on Human language technology research
Evaluation of a practical interlingua for task-oriented dialogue

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

ANLP/NAACL-ConvSyst '00 Proceedings of the 2000 ANLP/NAACL Workshop on Conversational systems - Volume 3

A Thai speech translation system for medical dialogs

HLT-NAACL--Demonstrations '04 Demonstration Papers at HLT-NAACL 2004
Generating Arabic text in multilingual speech-to-speech machine translation framework

Machine Translation

Quantified Score

Hi-index	0.00

Visualization

Abstract

Speech-to-speech translation has made significant advances over the past decade, with several high-visibility projects (C-STAR, Verb-mobil, the Spoken Language Translator, and others) significantly advancing the state-of-the-art. While speech recognition can currently effectively deal with very large vocabularies and is fairly speaker independent, speech translation is currently still effective only in limited, albeit large, domains. The issue of domain portability is thus of significant importance, with several current research efforts designed to develop speech-translation systems that can be ported to new domains with significantly less time and effort than is currently possible.