Abstract
We describe our two NMT systems submitted to the WMT 2020 shared task in English<->Czech and English<->Polish news translation. One system is sentence level, translating each sentence independently. The second system is document level, translating multiple sentences, trained on multi-sentence sequences up to 3000 characters long.- Anthology ID:
- 2020.wmt-1.28
- 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:
- 269–273
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.28
- DOI:
- Cite (ACL):
- Martin Popel. 2020. CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training. In Proceedings of the Fifth Conference on Machine Translation, pages 269–273, Online. Association for Computational Linguistics.
- Cite (Informal):
- CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training (Popel, WMT 2020)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2020.wmt-1.28.pdf