Paper: A Bidirectional Transfer-Driven Machine Translation System For Spoken Dialogues

ACL ID C94-1007
Title A Bidirectional Transfer-Driven Machine Translation System For Spoken Dialogues
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1994
Authors

The aim of this development is to achieve bidirectional spoken dialogue translation using a new translation technique, TDMT, in which an example-based framework is fully utilized to translate the whole sentence. Although the translation coverage is presently restricted to conference registration, the system meets requirements for spoken dialogue translation, such as two-way translation, high speed, and high accuracy with robust processing. 1. INTRODUCTION Transfer-Driven Machine Translation[ll,[2],[9], (TDMT) is a translation technique which utilizes empirical transfer knowledge compiled from actual translation examples. The main part of translation is performed by the transfer module which applies the transfer knowledge to each input sentence. Other modules, such as lexical processing, an...