A Modular Approach to Spoken Language Translation for Large Domains

Authors:
Monika Woszczcyna;Matthew Broadhead;Donna Gates;Marsal Gavaldà;Alon Lavie;Lori S. Levin;Alex Waibel
Affiliations:
-;-;-;-;-;-;-
Venue:
AMTA '98 Proceedings of the Third Conference of the Association for Machine Translation in the Americas on Machine Translation and the Information Soup
Year:
1998

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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.