Abstract
This paper describes the PROMT submissions for the WMT 2019 Shared News Translation Task. This year we participated in two language pairs and in three directions: English-Russian, English-German and German-English. All our submissions are Marian-based neural systems. We use significantly more data compared to the last year. We also present our improved data filtering pipeline.- Anthology ID:
- W19-5331
- Volume:
- Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
- Month:
- August
- Year:
- 2019
- Address:
- Florence, Italy
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 302–307
- Language:
- URL:
- https://aclanthology.org/W19-5331
- DOI:
- 10.18653/v1/W19-5331
- Cite (ACL):
- Alexander Molchanov. 2019. PROMT Systems for WMT 2019 Shared Translation Task. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 302–307, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- PROMT Systems for WMT 2019 Shared Translation Task (Molchanov, WMT 2019)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/W19-5331.pdf