Paper: All in Strings: a Powerful String-based Automatic MT Evaluation Metric with Multiple Granularities

ACL ID C10-2175
Title All in Strings: a Powerful String-based Automatic MT Evaluation Metric with Multiple Granularities
Venue International Conference on Computational Linguistics
Session Poster Session
Year 2010
Authors

String-based metrics of automatic ma- chine translation (MT) evaluation are widely applied in MT research. Mean- while, some linguistic motivated me- trics have been suggested to improve the string-based metrics in sentence- level evaluation. In this work, we at- tempt to change their original calcula- tion units (granularities) of string-based metrics to generate new features. We then propose a powerful string-based automatic MT evaluation metric, com- bining all the features with various granularities based on SVM rank and regression models. The experimental results show that i) the new features with various granularities can contri- bute to the automatic evaluation of translation quality; ii) our proposed string-based metrics with multiple gra- nularities based on SVM regres...