A Modular Approach to Spoken Language Translation for Large Domains - Robotics Institute Carnegie Mellon University

A Modular Approach to Spoken Language Translation for Large Domains

Monika Woszczyna, Matthew Broadhead, Donna Gates, Marsal Gavalda, Alon Lavie, Lori Levin, and Alex Waibel
Conference Paper, Proceedings of 3rd Conference of the Association for Machine Translation in the Americas (AMTA '98), pp. 31 - 49, October, 1998

Abstract

The MT engine of the JANUS speech-to-speech translation system is designed around four main principles: 1) an interlingua approach that allows the efficient addition of new languages, 2) the use of semantic grammars that yield low cost high quality translations for limited domains, 3) modular grammars that support easy expansion into new domains, and 4) efficient integration of multiple grammars using multi-domain parse lattices and domain re-scoring. Within the framework of the C-STAR-II speech-to-speech translation effort, these principles are tested against the challenge of providing translation for a number of domains and language pairs with the additional restriction of a, common interchange format.

BibTeX

@conference{Woszczyna-1998-16599,
author = {Monika Woszczyna and Matthew Broadhead and Donna Gates and Marsal Gavalda and Alon Lavie and Lori Levin and Alex Waibel},
title = {A Modular Approach to Spoken Language Translation for Large Domains},
booktitle = {Proceedings of 3rd Conference of the Association for Machine Translation in the Americas (AMTA '98)},
year = {1998},
month = {October},
pages = {31 - 49},
}