PROMT Systems for WMT 2018 Shared Translation Task

Alexander Molchanov


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
Venues:
EMNLP | WMT | WS
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
456–460
Language:
URL:
https://www.aclweb.org/anthology/W18-6420
DOI:
10.18653/v1/W18-6420
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-6420.pdf