Conference Publication Details
Mandatory Fields
He Y.;Way A.
Proceedings of the 13th Annual Conference of the European Association for Machine Translation, EAMT 2009
Learning labelled dependencies in machine translation evaluation
2009
December
Published
1
()
Optional Fields
44
51
Recently novel MT evaluation metrics have been presented which go beyond pure string matching, and which correlate better than other existing metrics with human judgements. Other research in this area has presented machine learning methods which learn directly from human judgements. In this paper, we present a novel combination of dependency- and machine learning-based approaches to automatic MT evaluation, and demonstrate greater correlations with human judgement than the existing state-of-the-art methods. In addition, we examine the extent to which our novel method can be generalised across different tasks and domains. © 2009 European Association for Machine Translation.
Grant Details