Paper: Minimum Bayes-risk System Combination

ACL ID P11-1127
Title Minimum Bayes-risk System Combination
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

We present minimum Bayes-risk system com- bination, a method that integrates consen- sus decoding and system combination into a unified multi-system minimum Bayes-risk (MBR) technique. Unlike other MBR meth- ods that re-rank translations of a single SMT system, MBR system combination uses the MBR decision rule and a linear combina- tion of the component systems’ probability distributions to search for the minimum risk translation among all the finite-length strings over the output vocabulary. We introduce ex- pected BLEU, an approximation to the BLEU score that allows to efficiently apply MBR in these conditions. MBR system combination is a general method that is independent of spe- cific SMT models, enabling us to combine systems with heterogeneous structure. Exper- iments show that our...