@inproceedings{marie-etal-2019-nicts-machine,
title = "{NICT}{'}s Machine Translation Systems for the {WMT}19 Similar Language Translation Task",
author = "Marie, Benjamin and
Dabre, Raj and
Fujita, Atsushi",
booktitle = "Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-5428",
doi = "10.18653/v1/W19-5428",
pages = "208--212",
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.",
}
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%0 Conference Proceedings
%T NICT’s Machine Translation Systems for the WMT19 Similar Language Translation Task
%A Marie, Benjamin
%A Dabre, Raj
%A Fujita, Atsushi
%S Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
%D 2019
%8 aug
%I Association for Computational Linguistics
%C Florence, Italy
%F marie-etal-2019-nicts-machine
%X 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.
%R 10.18653/v1/W19-5428
%U https://aclanthology.org/W19-5428
%U https://doi.org/10.18653/v1/W19-5428
%P 208-212
Markdown (Informal)
[NICT’s Machine Translation Systems for the WMT19 Similar Language Translation Task](https://aclanthology.org/W19-5428) (Marie et al., 2019)
ACL