Jump to ContentJump to Main Navigation
Learning Machine Translation$
Users without a subscription are not able to see the full content.

Cyril Goutte, Nicola Cancedda, Marc Dymetman, and George Foster

Print publication date: 2008

Print ISBN-13: 9780262072977

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262072977.001.0001

Show Summary Details
Page of

PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2022. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use.date: 22 May 2022

Learning to Combine Machine Translation Systems

Learning to Combine Machine Translation Systems

(p.257) 13 Learning to Combine Machine Translation Systems
Learning Machine Translation

Evgeny Matusov

Gregor Leusch

Hermann Ney

The MIT Press

This chapter shows how outputs of multiple machine translation (MT) systems may be combined in order to improve translation quality. It presents a method that computes a consensus translation from the aligned MT hypotheses. The method utilizes the enhanced alignment procedure of Matusov et al. (2006), as well as its extensions. The proposed system combination approach was evaluated on well-established Chinese-to-English and Arabic-to-English large-vocabulary translation tasks. Significant improvements in translation quality were obtained when compared with the best individual MT system.

Keywords:   multiple machine translation, translation quality, consensus translation

MIT Press Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs, and if you can't find the answer there, please contact us.