A Survey of Automatic Machine Translation Evaluation
LI Liangyo · Zhongwen xinxi xuebao · 2014
With the development of machine translation,the automatic evaluation methods have been paid more and more attention.Since so many related methods and technologies have been proposed,it is a big challenge to organize and describe them with a scientific classification.This paper focuses on three types of methods,i.e.Checkpointbased methods,String-matching methods and Machine Learning based method.This paper enumerates several representative approaches for each type of method,describing the principle of metrics and analyzing advantages and shortcomings of them.In addition,the sub-branch of evaluation with limited references is also introduced as a special catalog,which plays an important role in increasing the degree of automation as well as boosting the performance.Furthermore,some famous evaluation metric campaigns are introduced.Finally,we show the trend of current researches on automatic evaluation and point out some relevant problems for future study.