Abstract
This report summarizes the Air Force Research Laboratory (AFRL) machine translation (MT) systems submitted to the news-translation task as part of the 2020 Conference on Machine Translation (WMT20) evaluation campaign. This year we largely repurpose strategies from previous years’ efforts with larger datasets and also train models with precomputed word alignments under various settings in an effort to improve translation quality.- Anthology ID:
- 2020.wmt-1.20
- Volume:
- Proceedings of the Fifth Conference on Machine Translation
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 207–212
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.20
- DOI:
- Cite (ACL):
- Jeremy Gwinnup and Tim Anderson. 2020. The AFRL WMT20 News Translation Systems. In Proceedings of the Fifth Conference on Machine Translation, pages 207–212, Online. Association for Computational Linguistics.
- Cite (Informal):
- The AFRL WMT20 News Translation Systems (Gwinnup & Anderson, WMT 2020)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2020.wmt-1.20.pdf