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Results from the ML4HMT-12 shared task on applying machine learning techniques to optimise the division of labour in hybrid machine translation

Federmann, Christian and Okita, Tsuyoshi and Melero, Maite and Costa-Jussá, Marta and Badia, Toni and van Genabith, Josef (2012) Results from the ML4HMT-12 shared task on applying machine learning techniques to optimise the division of labour in hybrid machine translation. In: ML4HMT-12 Workshop, 9 Dec 2012, Mumbai, India.

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Abstract

We describe the second edition of the ML4HMT shared task which challenges participants to create hybrid translations from the translation output of several individual MT systems. We provide an overview of the shared task and the data made available to participants before briefly describing the individual systems. We report on the results using automatic evaluation metrics and conclude with a summary of ML4HMT-12 and an outlook to future work.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:No
Uncontrolled Keywords:Machine Translation; System Combination; Machine Learning
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:17684
Deposited On:20 Dec 2012 10:47 by Tsuyoshi Okita. Last Modified 18 Jul 2018 09:15

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