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Combining data-driven MT systems for improved sign language translation

Morrissey, Sara and Way, Andy and Stein, Daniel and Bungeroth, Jan and Ney, Hermann (2007) Combining data-driven MT systems for improved sign language translation. In: Machine Translation Summit XI, 10-14 September, 2007, Copenhagen, Denmark.

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In this paper, we investigate the feasibility of combining two data-driven machine translation (MT) systems for the translation of sign languages (SLs). We take the MT systems of two prominent data-driven research groups, the MaTrEx system developed at DCU and the Statistical Machine Translation (SMT) system developed at RWTH Aachen University, and apply their respective approaches to the task of translating Irish Sign Language and German Sign Language into English and German. In a set of experiments supported by automatic evaluation results, we show that there is a definite value to the prospective merging of MaTrEx’s Example-Based MT chunks and distortion limit increase with RWTH’s constraint reordering.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:sign language 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
Publisher:European Association for Machine Translation
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Irish Research Council for Science Engineering and Technology, IBM
ID Code:15229
Deposited On:18 Feb 2010 14:11 by DORAS Administrator. Last Modified 27 Apr 2010 14:52

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