Paper: Reordering Constraint Based on Document-Level Context

ACL ID P11-2076
Title Reordering Constraint Based on Document-Level Context
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011

One problem with phrase-based statistical ma- chine translation is the problem of long- distance reordering when translating between languages with different word orders, such as Japanese-English. In this paper, we propose a method of imposing reordering constraints us- ing document-level context. As the document- level context, we use noun phrases which sig- nificantly occur in context documents contain- ing source sentences. Given a source sen- tence, zones which cover the noun phrases are used as reordering constraints. Then, in de- coding, reorderings which violate the zones are restricted. Experiment results for patent translation tasks show a significant improve- ment of 1.20% BLEU points in Japanese- Englishtranslationand1.41%BLEUpointsin English-Japanese translation.