Bojar, Ondřej ORCID: 0000-0002-0606-0050, Federmann, Christian, Fishel, Mark, Graham, Yvette, Haddow, Barry, Huck, Matthias, Koehn, Philipp and Monz, Christof (2018) Findings of the 2018 conference on machine translation (WMT18). In: Third Conference on Machine Translation, Volume 2: Shared Task Papers, 31 Oct - 1 Nov 2018, Brussels, Belgium.
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 suites to probe specific aspects of translation.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | No |
Subjects: | Computer Science > Machine translating |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Institutes and Centres > ADAPT |
Published in: | Proceedings of the Third Annual Conference for Machine Translation. 2. Association for Computational Linguistics (ACM). |
Publisher: | Association for Computational Linguistics (ACM) |
Official URL: | https://www.aclweb.org/anthology/W18-6401 |
Copyright Information: | © 2018 ACM |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | European Union’s Horizon 2020 research and innovation programme, grant Nos. 645452 (QT21) 295 and 645357 (Cracker), Connecting Europe Facility under agreement No. NEA/CEF/ICT/A2016/1331648 (ParaCrawl), Science Foundation Ireland, SFI Research Centres Programme (Grant 13/RC/2106) co-funded under the European Regional Development Fund. |
ID Code: | 23118 |
Deposited On: | 03 Apr 2019 09:10 by Yvette Graham . Last Modified 22 May 2019 10:57 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
879kB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record