A Hybrid Approach to Skeleton-based Translation

Tong Xiao, Jingbo Zhu, Chunliang Zhang
2014 Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)  
In this paper we explicitly consider sentence skeleton information for Machine Translation (MT). The basic idea is that we translate the key elements of the input sentence using a skeleton translation model, and then cover the remain segments using a full translation model. We apply our approach to a state-of-the-art phrase-based system and demonstrate very promising BLEU improvements and TER reductions on the NIST Chinese-English MT evaluation data.
doi:10.3115/v1/p14-2092 dblp:conf/acl/XiaoZZ14 fatcat:5c3et3rbifhq3b3ovfwckf3pkm