Paper: Bilingual Lexical Cohesion Trigger Model for Document-Level Machine Translation

ACL ID P13-2068
Title Bilingual Lexical Cohesion Trigger Model for Document-Level Machine Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013
Authors

In this paper, we propose a bilingual lexi- cal cohesion trigger model to capture lex- ical cohesion for document-level machine translation. We integrate the model into hierarchical phrase-based machine trans- lation and achieve an absolute improve- ment of 0.85 BLEU points on average over the baseline on NIST Chinese-English test sets.