Paper: A Joint Sequence Translation Model with Integrated Reordering

ACL ID P11-1105
Title A Joint Sequence Translation Model with Integrated Reordering
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

We present a novel machine translation model which models translation by a linear sequence of operations. In contrast to the “N-gram” model, this sequence includes not only trans- lation but also reordering operations. Key ideas of our model are (i) a new reordering approach which better restricts the position to which a word or phrase can be moved, and is able to handle short and long distance re- orderings in a unified way, and (ii) a joint sequence model for the translation and re- ordering probabilities which is more flexi- ble than standard phrase-based MT. We ob- serve statistically significant improvements in BLEU over Moses for German-to-English and Spanish-to-English tasks, and comparable re- sults for a French-to-English task.