Paper: Combining Outputs from Multiple Machine Translation Systems

ACL ID N07-1029
Title Combining Outputs from Multiple Machine Translation Systems
Venue Human Language Technologies
Session Main Conference
Year 2007
Authors

Currently there are several approaches to machine translation (MT) based on differ- ent paradigms; e.g., phrasal, hierarchical and syntax-based. These three approaches yield similar translation accuracy despite using fairly different levels of linguistic knowledge. The availability of such a variety of systems has led to a growing interest toward finding better translations by combining outputs from multiple sys- tems. This paper describes three differ- ent approaches to MT system combina- tion. These combination methods oper- ate on sentence, phrase and word level exploiting information from a4 -best lists, system scores and target-to-source phrase alignments. The word-level combination provides the most robust gains but the best results on the development test sets (NIST MT05 and the new...