Meteor is an automatic metric for Machine Translation evaluation which has been demonstrated to have high levels of correlation with human judgments of translation quality, significantly outperforming the more commonly used Bleu metric. It is one of several automatic metrics used in this year's shared task within the ACL WMT-07 workshop. This paper recaps the technical details underlying the metric and describes recent improvements in the metric. The latest release includes improved metric parameters and extends the metric to support evaluation of MT output in Spanish, French and German, in addition to English.
This improved version supports additional languages like Spanish, French, and German, in addition to English, Arabic, and Chinese REF .
METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments
Workshop on Statistical Machine Translation
Computer Science