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Findings of the 2019 Conference on Machine Translation (WMT19)


Barrault, Loïc; Bojar, Ondřej; Costa-jussà, Marta R.; Federmann, Christian; Fishel, Mark; Graham, Yvette; Haddow, Barry; Huck, Matthias; Koehn, Philipp; Malmasi, Shervin; Monz, Christof; Müller, Mathias; Pal, Santanu; Post, Matt; Zampieri, Marcos (2019). Findings of the 2019 Conference on Machine Translation (WMT19). In: ACL 2019 FOURTH CONFERENCE ON MACHINE TRANSLATION (WMT19), Florence, Italy, 1 August 2019 - 2 August 2019, 1-61.

Abstract

This paper presents the results of the premier shared task organized alongside the Conference on Machine Translation (WMT) 2019. Participants were asked to build machine translation systems for any of 18 language pairs, to be evaluated on a test set of news stories. The main metric for this task is human judgment of translation quality. The task was also opened up to additional test suites to probe specific aspects of translation.

Abstract

This paper presents the results of the premier shared task organized alongside the Conference on Machine Translation (WMT) 2019. Participants were asked to build machine translation systems for any of 18 language pairs, to be evaluated on a test set of news stories. The main metric for this task is human judgment of translation quality. The task was also opened up to additional test suites to probe specific aspects of translation.

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Additional indexing

Item Type:Conference or Workshop Item (Speech), not_refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:2 August 2019
Deposited On:08 Nov 2019 15:48
Last Modified:08 Nov 2019 15:50
Number:2
OA Status:Closed
Official URL:http://www.statmt.org/wmt19/pdf/53/WMT01.pdf
Related URLs:http://www.statmt.org/wmt19/bib/53/WMT01.bib
Project Information:
  • : FunderSNSF
  • : Grant ID105212_169888
  • : Project TitleRich Context in Neural Machine Translation

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