Abstract
This paper describes the PROMT submissions for the WMT 2020 Shared News Translation Task. This year we participated in four language pairs and six directions: English-Russian, Russian-English, English-German, German-English, Polish-English and Czech-English. All our submissions are MarianNMT-based neural systems. We use more data compared to last year and update our back-translations with better models from the previous year. We show competitive results in terms of BLEU in most directions.- Anthology ID:
- 2020.wmt-1.25
- Volume:
- Proceedings of the Fifth Conference on Machine Translation
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Yvette Graham, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 248–253
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.25
- DOI:
- Cite (ACL):
- Alexander Molchanov. 2020. PROMT Systems for WMT 2020 Shared News Translation Task. In Proceedings of the Fifth Conference on Machine Translation, pages 248–253, Online. Association for Computational Linguistics.
- Cite (Informal):
- PROMT Systems for WMT 2020 Shared News Translation Task (Molchanov, WMT 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2020.wmt-1.25.pdf