Type

Conference Proceedings

Authors

I. Dan Melamed
Andy Way
Sergio Penkale
Daniel Galron

Subjects

Linguistics

Topics
data oriented translation direct data oriented translation dot error fragments corpus data model machine translating

Accuracy-based scoring for DOT: towards direct error minimization for data-oriented translation (2009)

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.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Centre for Next Generation Localisation (CNGL)
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Machine translating
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: National Centre for Language Technology (NCLT)
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres

Full list of authors on original publication

I. Dan Melamed, Andy Way, Sergio Penkale, Daniel Galron

Experts in our system

1
Andy Way
Dublin City University
Total Publications: 229