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Labelled dependencies in machine translation evaluation

Owczarzak, Karolina and van Genabith, Josef and Way, Andy (2007) Labelled dependencies in machine translation evaluation. In: ACL 2007 Workshop on Statistical Machine Translation, 23 June 2007, Prague, Czech Republic.

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We present a method for evaluating the quality of Machine Translation (MT) output, using labelled dependencies produced by a Lexical-Functional Grammar (LFG) parser. Our dependency based method, in contrast to most popular string-based evaluation metrics, does not unfairly penalize perfectly valid syntactic variations in the translation, and the addition of WordNet provides a way to accommodate lexical variation. In comparison with other metrics on 16,800 sentences of Chinese-English newswire text, our method reaches high correlation with human scores.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:machine translation evaluation;
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Initiatives and Centres > National Centre for Language Technology (NCLT)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Association for Computational Linguistics
Official URL:
Copyright Information:© 2007 Association for Computational Linguistics
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Microsoft Ireland
ID Code:15221
Deposited On:18 Feb 2010 11:24 by DORAS Administrator. Last Modified 27 Apr 2010 14:55

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