Abstract
This paper describes the PROMT submissions for the WMT 2018 Shared News Translation Task. This year we participated only in the English-Russian language pair. We built two primary neural networks-based systems: 1) a pure Marian-based neural system and 2) a hybrid system which incorporates OpenNMT-based neural post-editing component into our RBMT engine. We also submitted pure rule-based translation (RBMT) for contrast. We show competitive results with both primary submissions which significantly outperform the RBMT baseline.- Anthology ID:
- W18-6420
- Volume:
- Proceedings of the Third Conference on Machine Translation: Shared Task Papers
- Month:
- October
- Year:
- 2018
- Address:
- Belgium, Brussels
- Editors:
- Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Lucia Specia, Marco Turchi, Karin Verspoor
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 456–460
- Language:
- URL:
- https://aclanthology.org/W18-6420
- DOI:
- 10.18653/v1/W18-6420
- Cite (ACL):
- Alexander Molchanov. 2018. PROMT Systems for WMT 2018 Shared Translation Task. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 456–460, Belgium, Brussels. Association for Computational Linguistics.
- Cite (Informal):
- PROMT Systems for WMT 2018 Shared Translation Task (Molchanov, WMT 2018)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/W18-6420.pdf