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The UU Submission to the Machine Translation Quality Estimation Task
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
2016 (English)In: Proceedings of the First Conference on Machine Translation, 2016, p. 825-830Conference paper, Published paper (Refereed)
Abstract [en]

This paper outlines the UU-SVM system for Task 1 of the WMT16 Shared Task in Quality Estimation. Our system uses Support Vector Machine Regression to investigate the impact of a series of features aiming to convey translation quality. We propose novel features measuring reordering and noun translation errors. We show that we can outperform the baseline when we combine it with a subset of our new features.

Place, publisher, year, edition, pages
2016. p. 825-830
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-310322OAI: oai:DiVA.org:uu-310322DiVA: diva2:1056102
Conference
The First Conference on Machine Translation
Funder
eSSENCE - An eScience Collaboration
Available from: 2016-12-14 Created: 2016-12-14 Last updated: 2018-01-13

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http://aclweb.org/anthology/W/W16/W16-2390.pdf

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