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dc.contributor.authorSpecia, Lucia
dc.contributor.authorBlain, Frédéric
dc.contributor.authorFomicheva, Marina
dc.contributor.authorFonseca, Erick
dc.contributor.authorChaudhary, Vishrav
dc.contributor.authorGuzmán, Francisco
dc.contributor.authorMartins, André FT
dc.date.accessioned2021-01-05T12:35:14Z
dc.date.available2021-01-05T12:35:14Z
dc.date.issued2020-11-30
dc.identifier.citationSpecia, L., Blain, F., Fomicheva, M. et al. (2020) Findings of the WMT 2020 shared task on quality estimation, Proceedings of the Fifth Conference on Machine Translation, November 2020, pp. 743–764.en
dc.identifier.isbn9781948087810en
dc.identifier.urihttp://hdl.handle.net/2436/623855
dc.description© 2020 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; https://www.aclweb.org/anthology/2020.wmt-1.79en
dc.description.abstractWe report the results of the WMT20 shared task on Quality Estimation, where the challenge is to predict the quality of the output of neural machine translation systems at the word, sentence and document levels. This edition included new data with open domain texts, direct assessment annotations, and multiple language pairs: English-German, English-Chinese, Russian-English, Romanian-English, Estonian-English, Sinhala-English and Nepali-English data for the sentence-level subtasks, English-German and English-Chinese for the word-level subtask, and English-French data for the document-level subtask. In addition, we made neural machine translation models available to participants. 19 participating teams from 27 institutions submitted altogether 1374 systems to different task variants and language pairs.en
dc.formatapplication/pdfen
dc.language.isoenen
dc.publisherAssociation for Computational Linguisticsen
dc.relation.urlhttps://www.aclweb.org/anthology/2020.wmt-1.79en
dc.titleFindings of the WMT 2020 shared task on quality estimationen
dc.typeConference contributionen
dc.date.updated2021-01-04T13:26:01Z
dc.conference.nameEMNLP 2020, Fifth Conference on Machine Translation
pubs.finish-date2020-11-20
pubs.place-of-publicationOnline
pubs.start-date2020-11-19
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW05012021FBen
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2021-01-05en
dc.source.beginpage743
dc.source.endpage764
refterms.dateFCD2021-01-05T12:32:58Z
refterms.versionFCDVoR
refterms.dateFOA2021-01-05T12:35:14Z


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