Incorporating Syntax-Based Language Models in Phrase-Based SMT Models

摘要：

In this paper,we proposed a method to incorporatesyntax-based language models in phrase-basedstatistical machine translation(SMT)systems.Thelanguage model that we used is based on link grammar,which is a high lexical formalism.In order to applylanguage models based on link grammar in phrase-based models,we brought out the concept of linkedphrases,which is an extension of the concept oftraditional phrases in phrase-based models.Experiments were carried out and the results showedthat the use of syntax-based language models couldimprove the performance of the phrase-based modelsgreatly.

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,Fuiian,P.R.China

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 808-812

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）