Sheffield submissions for the WMT18 quality estimation shared task
Abstract
In this paper we present the University of Sheffield submissions for the WMT18 Quality Estimation shared task. We discuss our submissions to all four sub-tasks, where ours is the only team to participate in all language pairs and variations (37 combinations). Our systems show competitive results and outperform the baseline in nearly all cases.Citation
Ive, J., Scarton, C., Blain, F., Specia, L. (2018) Sheffield submissions for the WMT18 quality estimation shared task. In, Proceedings of the Third Conference on Machine Translation, Volume 2: Shared Task Papers, Bojar, O., Chatterjee, R., Federmann, C., Fishel, M. et al. Stroudburg, PA: Association for Computational Linguistics, pp. 794-800.Additional Links
https://www.aclweb.org/anthology/W18-6463/Type
Conference contributionLanguage
enDescription
© 2018 The Authors. Published by Association for Computational Linguistics. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: http://dx.doi.org/10.18653/v1/W18-6463ISBN
9781948087810Sponsors
Carolina Scarton is supported by the EC project SIMPATICO (H2020-EURO-6-2015, grant number 692819). Frederic Blain is supported by the Amazon Academic Research Awards program.Scopus Count
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/