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Combining semantic and syntactic generalization in example-based machine translation

Ebling, Sarah and Way, Andy and Volk, Martin and Kumar Naskar, Sudip (2011) Combining semantic and syntactic generalization in example-based machine translation. In: The 15th conference of the European Association for Machine Translation (EAMT 2011), 30th - 31st of May 2011, Leuven, Belgium.

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Abstract

In this paper, we report our experiments in combining two EBMT systems that rely on generalized templates, Marclator and CMU-EBMT, on an English–German translation task. Our goal was to see whether a statistically significant improvement could be achieved over the individual performances of these two systems. We observed that this was not the case. However, our system consistently outperformed a lexical EBMT baseline system.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Statistical Machine Translation; SMT; Example- Based Machine Translation; EBMT; Corpus-Based Machine Translation; CBMT
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 15th conference of the European Association for Machine Translation. . European Association for Machine Translation.
Publisher:European Association for Machine Translation
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16413
Deposited On:21 Jul 2011 15:42 by Shane Harper. Last Modified 21 Jul 2011 15:42

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