Combining Machine Translation Output with Open Source: The Carnegie Mellon Multi-Engine Machine Translation Scheme

Abstract

The Carnegie Mellon multi-engine machine translation software merges output from several machine translation systems into a single improved translation.This improvement is significant: in the recent NIST MT09 evaluation, the combined Arabic-English output scored 5.22 BLEU points higher than the best individual system.Concurrent with this paper, we release the source code behind this result consisting of a recombining beam search decoder, the combination search space and features, and several accessories.Here we describe how the released software works and its use.