BLEU: a method for automatic evaluation of machine translation

被引：12060

作者：

Papineni, K ^{[1
]}

Roukos, S ^{[1
]}

Ward, T ^{[1
]}

Zhu, WJ ^{[1
]}

机构：

[1] IBM Corp, TJ Watson Res Ctr, Yorktown Hts, NY 10598 USA

来源：

40TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE | 2002年

关键词：

D O I：

10.3115/1073083.1073135

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Human evaluations of machine translation are extensive but expensive. Human evaluations can take months to finish and involve human labor that can not be reused. We propose a method of automatic machine translation evaluation that is quick, inexpensive, and language-independent, that correlates highly with human evaluation, and that has little marginal cost per run. We present this method as an automated understudy to skilled human judges which substitutes for them when there is need for quick or frequent evaluations.(1).

引用

页码：311 / 318

页数：8