Abstract
We report on the efforts of the Johns Hopkins University to develop neural machine translation systems for the shared task for news translation organized around the Conference for Machine Translation (WMT) 2018. We developed systems for German–English, English– German, and Russian–English. Our novel contributions are iterative back-translation and fine-tuning on test sets from prior years.- Anthology ID:
- W18-6417
- Volume:
- Proceedings of the Third Conference on Machine Translation: Shared Task Papers
- Month:
- October
- Year:
- 2018
- Address:
- Belgium, Brussels
- Editors:
- Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Lucia Specia, Marco Turchi, Karin Verspoor
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 438–444
- Language:
- URL:
- https://aclanthology.org/W18-6417
- DOI:
- 10.18653/v1/W18-6417
- Cite (ACL):
- Philipp Koehn, Kevin Duh, and Brian Thompson. 2018. The JHU Machine Translation Systems for WMT 2018. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 438–444, Belgium, Brussels. Association for Computational Linguistics.
- Cite (Informal):
- The JHU Machine Translation Systems for WMT 2018 (Koehn et al., WMT 2018)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W18-6417.pdf