A Chunk-Based Reordering Model for Phrase-Based SMT Systems

摘要：

This paper proposed a novel reordering model based on the reordering of source language chunks. This model is used as a preprocessing step of phrase-based translation models and could be well integrated with them. At the same time, as a chunk-based model, syntax information could be concerned in the process of reordering while the entire parsing of the source sentence is not required. Two experiments were carried out and the results showed that the proposed model could improve the performance of a phrase-based statistical machine translation (SMT) system greatly.

关键词： Statistical Machine Translation (SMT) Phrase-Based Translation Models (PBTM) Reordering Models Chunk-Based Models

作者: Yidong CHEN Xiaodong SHI Changle ZHOU Qingyang HONG

作者单位: Department of Cognitive Science,School of Information Science and Technology,Xiamen University,Xiamen,Fujian,P.R.China

会议类型: 国际会议

会议名称: The 2008 IEEE International Conference on Natural Language Processing and Knowledge Engineering(IEEE NLP-KE 2008)(2008IEEE自然语言处理与知识工程国际会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-19（万方平台首次上网日期，不代表论文的发表时间）