Paper: Fluency Constraints for Minimum Bayes-Risk Decoding of Statistical Machine Translation Lattices

ACL ID C10-1009
Title Fluency Constraints for Minimum Bayes-Risk Decoding of Statistical Machine Translation Lattices
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

A novel and robust approach to improv- ing statistical machine translation fluency is developed within a minimum Bayes- risk decoding framework. By segment- ing translation lattices according to con- fidence measures over the maximum like- lihood translation hypothesis we are able to focus on regions with potential transla- tion errors. Hypothesis space constraints based on monolingual coverage are ap- plied to the low confidence regions to im- prove overall translation fluency.