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
- 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/auto-file-uploads/2020.wmt-1.25.pdf