高技术通讯（英文版）2004，Vol.10Issue(2)：42-45,4.
A Study on Automatic Scoring for Machine Translation Systems
A Study on Automatic Scoring for Machine Translation Systems
摘要
Abstract
String similarity measures of edit distance, cosine correlation and Dice coefficient are adopted to evaluate machine translation results. Experiment shows that the evaluation method distinguishes well between "good" and "bad" translations. Another experiment manifests a consistency between human and automatic scorings of 6 general-purpose MT systems. Equational analysis validates the experimental results. Although the data and graphs are very promising, correlation coefficient and significance tests at 0.01 level are made to ensure the reliability of the results. Linear regression is made to map the automatic scoring results to human scorings.关键词
machine translation/string similarity/correlation/linear regressionKey words
machine translation/string similarity/correlation/linear regression分类
信息技术与安全科学引用本文复制引用
Yao Jianmin(姚建民),Zhang Jing,Zhao Tiejun,Li Sheng..A Study on Automatic Scoring for Machine Translation Systems[J].高技术通讯（英文版）,2004,10(2):42-45,4.基金项目
Supported by the High Technology Research and Development Programme of China. （）
