Error Analysis of English-Chinese Machine Translation

摘要：

　　In order to explore a practical way of improving machine translation(MT)quality,the error types and distribution of MT results have to be analyzed first.This paper analyzed English-Chinese MT errors from the perspective of naming-telling clause(NT clause,hereafter).Two types of text were input to get the MT output: one was to input the whole original English sentences into an MT engine; the other was to parse English sentences into English NT clauses,and then input these clauses into the MT engine in order.The errors of MT output are categorized into three classes: incorrect lexical choices,structural errors and component omissions.Structural errors are further divided into SV-structure errors and non-SV-structure errors.The analyzed data shows firstly,the major errors are structural errors,in which non-SV-structural errors account for a larger proportion; secondly,translation errors decrease significantly after English sentences are parsed into NT clauses.This result reveals that non-SV clauses are the main source of MT errors,and suggests that English long sentences should be parsed into NT clauses before they are translated.

关键词： Machine Translation Error Analysis NT clauses SV clauses Non-SV clauses

作者: Fei Fang Shili Ge Rou Song

作者单位: School of English for International Business,Guangdong University of Foreign Studies 510420 Guangzho School of English for International Business,Guangdong University of Foreign Studies 510420 Guangzho Guangdong Collaborative Innovation Center for Language Research and Service 510420 Guangzhou,China

会议类型: 国内会议

会议名称: 第十五届全国计算语言学学术会议(CCL2016)暨第四届基于自然标注大数据的自然语言处理国际学术研讨会(NLP-NABD-2016)

会议地点: 烟台

会议语种:英文

页码: 1-15

在线出版日期: 2016-10-14（万方平台首次上网日期，不代表论文的发表时间）