Furthermore, this system combination works better than the conventional multi-model approach by up to 0.7 BLEU on both the dev and test sets.
a domain-adapted system comprising two phrase tables trained on a total of 180k sentences outperformed the standard multi-model system which was trained on 12 million sentences.