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Wrapper syntax for example-based machine translation

Owczarzak, Karolina and Mellebeek, Bart and Groves, Declan and van Genabith, Josef and Way, Andy (2006) Wrapper syntax for example-based machine translation. In: AMTA 2006 - 7th Conference of the Association for Machine Translation of the Americas, 8-12 August 2006, Cambridge, Massachusetts, USA.

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TransBooster is a wrapper technology designed to improve the performance of wide-coverage machine translation systems. Using linguistically motivated syntactic information, it automatically decomposes source language sentences into shorter and syntactically simpler chunks, and recomposes their translation to form target language sentences. This generally improves both the word order and lexical selection of the translation. To date, TransBooster has been successfully applied to rule-based MT, statistical MT, and multi-engine MT. This paper presents the application of TransBooster to Example-Based Machine Translation. In an experiment conducted on test sets extracted from Europarl and the Penn II Treebank we show that our method can raise the BLEU score up to 3.8% relative to the EBMT baseline. We also conduct a manual evaluation, showing that TransBooster-enhanced EBMT produces a better output in terms of fluency than the baseline EBMT in 55% of the cases and in terms of accuracy in 53% of the cases.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:example-based machine translation;
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
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Enterprise Ireland, EI SC/2003/0282
ID Code:15282
Deposited On:11 Mar 2010 11:56 by DORAS Administrator. Last Modified 20 Feb 2017 13:47

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