Accuracy-based scoring for DOT: towards direct error minimization for data-oriented translation

Authors:
Daniel Galron;Sergio Penkale;Andy Way;I. Dan Melamed
Affiliations:
New York University;Dublin City University;Dublin City University;AT&T Shannon Laboratory
Venue:
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Year:
2009

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Abstract

In this work we present a novel technique to rescore fragments in the Data-Oriented Translation model based on their contribution to translation accuracy. We describe three new rescoring methods, and present the initial results of a pilot experiment on a small subset of the Europarl corpus. This work is a proof-of-concept, and is the first step in directly optimizing translation decisions solely on the hypothesized accuracy of potential translations resulting from those decisions.