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Sheffield submissions for the WMT18 quality estimation shared task

dc.contributor.authorIve, Julia
dc.contributor.authorScarton, Carolina
dc.contributor.authorBlain, Frédéric
dc.contributor.authorSpecia, Lucia
dc.date.accessioned2020-09-01T11:54:53Z
dc.date.available2020-09-01T11:54:53Z
dc.date.issued2018-10
dc.identifier.citationIve, 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.en
dc.identifier.isbn9781948087810en
dc.identifier.doi10.18653/v1/W18-6463en
dc.identifier.urihttp://hdl.handle.net/2436/623556
dc.description© 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/W18-6463en
dc.description.abstractIn 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.en
dc.description.sponsorshipCarolina 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.en
dc.formatapplication/pdfen
dc.language.isoenen
dc.publisherAssociation for Computational Linguisticsen
dc.relation.urlhttps://www.aclweb.org/anthology/W18-6463/en
dc.titleSheffield submissions for the WMT18 quality estimation shared tasken
dc.typeConference contributionen
dc.date.updated2020-08-25T14:22:55Z
pubs.place-of-publicationBelgium, Brussels
rioxxterms.funderHorizon 2020en
rioxxterms.identifier.projectH2020-EURO-6-2015en
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2020-09-01en
dc.source.beginpage807
dc.source.endpage813
refterms.dateFCD2020-09-01T11:53:35Z
refterms.versionFCDVoR
refterms.dateFOA2020-09-01T00:00:00Z


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