Paper: Coping With Ambiguity In A Large-Scale Machine Translation System

ACL ID C94-1012
Title Coping With Ambiguity In A Large-Scale Machine Translation System
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1994
Authors

In an interlingual knowledge-based machine trans- lation system, ambiguity arises when the source 1.qn- guage analyzer produces more than one interlingua expression for a source sentence. This can have a negative impact on translation quality, since a tar- get sentence may be produced from an unintended meaning. In this paper we describe the,nethods nsed in the KANT machine translation system to reduce or eliminate ambiguity in a large-scale ap- plication domain.