节点文献
一种错误敏感的词对齐评价方法
An Error-Sensitive Evaluation Metric for Word Alignment
【摘要】 对齐错误率(Alignment Error Rate,AER)是目前通用的词对齐评价标准。近年来的研究表明,AER虽然在一定程度上能够反映词对齐的质量,但它与机器翻译最终结果BLEU得分的相关性并不好。该文针对基于短语的机器翻译系统(PBSMT)分析了AER可能存在的一些问题,并根据词对齐结果中存在的不同类型的错误,提出了一种错误敏感的词对齐评测方法ESAER(Error-Sensitive Alignment Error Rate)。实验表明,该文提出的ES-AER与BLEU的相关性要远远好于AER。
【Abstract】 AER(Alignment Error Rate) is a widely used alignment quality measure.Recent study shows that the AER score is not well correlated with the BLEU score of the final translation result.In this paper,we analyze the possible reasons for this weak correlation in a phrase-based SMT environment.We also propose a new alignment quality measure ESAER(Error-Sensitive Alignment Error Rate) according to different alignment errors.Experimental result shows that ESAER gets a much higher correlation with BLEU score than AER.
【Key words】 artificial intelligence; machine translation; SMT; word Alignment; evaluation metric; AER; error-sensitive;
- 【文献出处】 中文信息学报 ,Journal of Chinese Information Processing , 编辑部邮箱 ,2009年03期
- 【分类号】TP391.2
- 【被引频次】5
- 【下载频次】150