Paper: Name-aware Machine Translation

ACL ID P13-1059
Title Name-aware Machine Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

We propose a Name-aware Machine Translation (MT) approach which can tightly integrate name processing into MT model, by jointly annotating parallel cor- pora, extracting name-aware translation grammar and rules, adding name phrase table and name translation driven decod- ing. Additionally, we also propose a new MT metric to appropriately evaluate the translation quality of informative words, by assigning different weights to differ- ent words according to their importance values in a document. Experiments on Chinese-English translation demonstrated the effectiveness of our approach on en- hancing the quality of overall translation, name translation and word alignment over a high-quality MT baseline1.