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MATREX: the DCU MT system for WMT 2010

Penkale, Sergio, Haque, Rejwanul orcid logoORCID: 0000-0003-1680-0099, Dandapat, Sandipan, Banerjee, Pratyush, Srivastava, Ankit Kumar, Du, Jinhua orcid logoORCID: 0000-0002-3267-4881, Pecina, Pavel, Kumar Naskar, Sudip, Forcada, Mikel and Way, Andy orcid logoORCID: 0000-0001-5736-5930 (2010) MATREX: the DCU MT system for WMT 2010. In: WMT 2010 - The Joint Fifth Workshop on Statistical Machine Translation and Metrics MATR, ACL 2010., 15-16 July 2010, Uppsala, Sweden.

Abstract
This paper describes the DCU machine translation system in the evaluation campaign of the Joint Fifth Workshop on Statistical Machine Translation and Metrics in ACL-2010. We describe the modular design of our multi-engine machine translation (MT) system with particular focus on the components used in this participation. We participated in the English–Spanish and English–Czech translation tasks, in which we employed our multiengine architecture to translate. We also participated in the system combination task which was carried out by the MBR decoder and confusion network decoder.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR. . Association for Computational Linguistics.
Publisher:Association for Computational Linguistics
Official URL:http://www.aclweb.org/anthology/W/W10/W10-1720.pdf
Copyright Information:© 2010 Association for Computational Linguistics
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, European Framework Programme 7
ID Code:15794
Deposited On:10 Nov 2010 13:58 by Shane Harper . Last Modified 20 Jan 2021 16:06
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