@inproceedings{rikters-etal-2020-university,
title = "The {U}niversity of {T}okyo{'}s Submissions to the {WAT} 2020 Shared Task",
author = "Rikters, Mat{\=\i}ss and
Nakazawa, Toshiaki and
Ri, Ryokan",
booktitle = "Proceedings of the 7th Workshop on Asian Translation",
month = dec,
year = "2020",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wat-1.18",
pages = "147--153",
abstract = "The paper describes the development process of the The University of Tokyo{'}s NMT systems that were submitted to the WAT 2020 Document-level Business Scene Dialogue Translation sub-task. We describe the data processing workflow, NMT system training architectures, and automatic evaluation results. For the WAT 2020 shared task, we submitted 12 systems (both constrained and unconstrained) for English-Japanese and Japanese-English translation directions. The submitted systems were trained using Transformer models and one was a SMT baseline.",
}
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%0 Conference Proceedings
%T The University of Tokyo’s Submissions to the WAT 2020 Shared Task
%A Rikters, Mat\=\iss
%A Nakazawa, Toshiaki
%A Ri, Ryokan
%S Proceedings of the 7th Workshop on Asian Translation
%D 2020
%8 dec
%I Association for Computational Linguistics
%C Suzhou, China
%F rikters-etal-2020-university
%X The paper describes the development process of the The University of Tokyo’s NMT systems that were submitted to the WAT 2020 Document-level Business Scene Dialogue Translation sub-task. We describe the data processing workflow, NMT system training architectures, and automatic evaluation results. For the WAT 2020 shared task, we submitted 12 systems (both constrained and unconstrained) for English-Japanese and Japanese-English translation directions. The submitted systems were trained using Transformer models and one was a SMT baseline.
%U https://aclanthology.org/2020.wat-1.18
%P 147-153
Markdown (Informal)
[The University of Tokyo’s Submissions to the WAT 2020 Shared Task](https://aclanthology.org/2020.wat-1.18) (Rikters et al., WAT 2020)
ACL