NICT’s Machine Translation Systems for the WMT19 Similar Language Translation Task

Benjamin Marie, Raj Dabre, Atsushi Fujita


Abstract
This paper presents the NICT’s participation in the WMT19 shared Similar Language Translation Task. We participated in the Spanish-Portuguese task. For both translation directions, we prepared state-of-the-art statistical (SMT) and neural (NMT) machine translation systems. Our NMT systems with the Transformer architecture were trained on the provided parallel data enlarged with a large quantity of back-translated monolingual data. Our primary submission to the task is the result of a simple combination of our SMT and NMT systems. According to BLEU, our systems were ranked second and third respectively for the Portuguese-to-Spanish and Spanish-to-Portuguese translation directions. For contrastive experiments, we also submitted outputs generated with an unsupervised SMT system.
Anthology ID:
W19-5428
Volume:
Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | WMT | WS
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
208–212
Language:
URL:
https://www.aclweb.org/anthology/W19-5428
DOI:
10.18653/v1/W19-5428
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-5428.pdf