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Improving online machine translation systems

Mellebeek, Bart and Khasin, Anna and Owczarzak, Karolina and van Genabith, Josef and Way, Andy (2005) Improving online machine translation systems. In: MT Summit X - 10th Machine Translation Summit, 12-16 September 2005, Phuket, Thailand.

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Abstract

In (Mellebeek et al., 2005), we proposed the design, implementation and evaluation of a novel and modular approach to boost the translation performance of existing, wide-coverage, freely available machine translation systems, based on reliable and fast automatic decomposition of the translation input and corresponding composition of translation output. Despite showing some initial promise, our method did not improve on the baseline Logomedia1 and Systran2 MT systems. In this paper, we improve on the algorithm presented in (Mellebeek et al., 2005), and on the same test data, show increased scores for a range of automatic evaluation metrics. Our algorithm now outperforms Logomedia, obtains similar results to SDL3 and falls tantalisingly short of the performance achieved by Systran.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
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:http://www.tcllab.org/Pages/mtsummit/index.html
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Enterprise Ireland, EI SC/2003/282
ID Code:15296
Deposited On:12 Mar 2010 13:22 by DORAS Administrator. Last Modified 28 Apr 2010 10:21

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