The contribution of linguistic features to automatic machine translation evaluation

Amigó, Enrique, Giménez, Jesús, Gonzalo, Julio y Verdejo, Felisa(2009) .The contribution of linguistic features to automatic machine translation evaluation. .En: . ()

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Titulo The contribution of linguistic features to automatic machine translation evaluation
Autor(es) Amigó, Enrique
Giménez, Jesús
Gonzalo, Julio
Verdejo, Felisa
Materia(s) Informática
Resumen A number of approaches to Automatic MT Evaluation based on deep linguistic knowledge have been suggested. However, n-gram based metrics are still today the dominant approach. The main reason is that the advantages of employing deeper linguistic information have not been clarified yet. In this work, we propose a novel approach for meta-evaluation of MT evaluation metrics, since correlation cofficient against human judges do not reveal details about the advantages and disadvantages of particular metrics. We then use this approach to investigate the benefits of introducing linguistic features into evaluation metrics. Overall, our experiments show that (i) both lexical and linguistic metrics present complementary advantages and (ii) combining both kinds of metrics yields the most robust metaevaluation performance.
Fecha 2009-08-02
Formato application/pdf
Idioma eng
Fuente Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, pages 306–314,Suntec, Singapore, 2-7 August 2009
Versión de la publicación publishedVersion
Relacionado con el proyecto: info:eu-repo/grantAgreement/S2009/TIC-1542
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Creado: Fri, 21 Nov 2014, 14:19:27 CET