Findings of the 2018 Conference on Machine Translation (WMT18)

Ondřej Bojar, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, Christof Monz


Abstract
This paper presents the results of the premier shared task organized alongside the Conference on Machine Translation (WMT) 2018. Participants were asked to build machine translation systems for any of 7 language pairs in both directions, to be evaluated on a test set of news stories. The main metric for this task is human judgment of translation quality. This year, we also opened up the task to additional test sets to probe specific aspects of translation.
Anthology ID:
W18-6401
Volume:
Proceedings of the Third Conference on Machine Translation: Shared Task Papers
Month:
October
Year:
2018
Address:
Belgium, Brussels
Venues:
EMNLP | WMT | WS
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
272–303
Language:
URL:
https://aclanthology.org/W18-6401
DOI:
10.18653/v1/W18-6401
Bibkey:
Cite (ACL):
Ondřej Bojar, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, and Christof Monz. 2018. Findings of the 2018 Conference on Machine Translation (WMT18). In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 272–303, Belgium, Brussels. Association for Computational Linguistics.
Cite (Informal):
Findings of the 2018 Conference on Machine Translation (WMT18) (Bojar et al., 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-6401.pdf
Data
WMT 2018WMT 2018 NewsWMT 2016