@inproceedings{tubay-costa-jussa-2018-neural,
title = "Neural Machine Translation with the Transformer and Multi-Source {R}omance Languages for the Biomedical {WMT} 2018 task",
author = "Tubay, Brian and
Costa-juss{\`a}, Marta R.",
booktitle = "Proceedings of the Third Conference on Machine Translation: Shared Task Papers",
month = oct,
year = "2018",
address = "Belgium, Brussels",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6449",
doi = "10.18653/v1/W18-6449",
pages = "667--670",
abstract = "The Transformer architecture has become the state-of-the-art in Machine Translation. This model, which relies on attention-based mechanisms, has outperformed previous neural machine translation architectures in several tasks. In this system description paper, we report details of training neural machine translation with multi-source Romance languages with the Transformer model and in the evaluation frame of the biomedical WMT 2018 task. Using multi-source languages from the same family allows improvements of over 6 BLEU points.",
}
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%0 Conference Proceedings
%T Neural Machine Translation with the Transformer and Multi-Source Romance Languages for the Biomedical WMT 2018 task
%A Tubay, Brian
%A Costa-jussà, Marta R.
%S Proceedings of the Third Conference on Machine Translation: Shared Task Papers
%D 2018
%8 oct
%I Association for Computational Linguistics
%C Belgium, Brussels
%F tubay-costa-jussa-2018-neural
%X The Transformer architecture has become the state-of-the-art in Machine Translation. This model, which relies on attention-based mechanisms, has outperformed previous neural machine translation architectures in several tasks. In this system description paper, we report details of training neural machine translation with multi-source Romance languages with the Transformer model and in the evaluation frame of the biomedical WMT 2018 task. Using multi-source languages from the same family allows improvements of over 6 BLEU points.
%R 10.18653/v1/W18-6449
%U https://aclanthology.org/W18-6449
%U https://doi.org/10.18653/v1/W18-6449
%P 667-670
Markdown (Informal)
[Neural Machine Translation with the Transformer and Multi-Source Romance Languages for the Biomedical WMT 2018 task](https://aclanthology.org/W18-6449) (Tubay & Costa-jussà, 2018)
ACL