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Authors: Masato Yamazoe 1 ; Tomohiro Ohno 2 ; 1 and Shigeki Matsubara 3

Affiliations: 1 Graduate School of Science and Technology for Future Life, Tokyo Denki University, Tokyo, Japan ; 2 Graduate School of Advanced Science and Technology, Tokyo Denki University, Tokyo, Japan ; 3 Information & Communications, Nagoya University, Nagoya, Japan

Keyword(s): Sentence Generation, Paraphrasing, Readability, Dependency Structure.

Abstract: Although Japanese is widely regarded as a relatively free word order language, word order in Japanese is not entirely arbitrary and has some sort of preference. As a result, it is an important technique to produce a sentence that is not only grammatically correct but also easy to read. This paper proposes a method for the word ordering of a whole Japanese sentence when the dependency relations between words are given. Using BERT, the method identifies the easy-to-read word order for a syntactic tree based on bottom-up processing. We confirmed the effectiveness of our method through an experiment on word ordering using newspaper articles.

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Paper citation in several formats:
Yamazoe, M.; Ohno, T. and Matsubara, S. (2023). Bottom-up Japanese Word Ordering Using BERT. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-623-1; ISSN 2184-433X, SciTePress, pages 673-681. DOI: 10.5220/0011743600003393

@conference{icaart23,
author={Masato Yamazoe. and Tomohiro Ohno. and Shigeki Matsubara.},
title={Bottom-up Japanese Word Ordering Using BERT},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2023},
pages={673-681},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011743600003393},
isbn={978-989-758-623-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Bottom-up Japanese Word Ordering Using BERT
SN - 978-989-758-623-1
IS - 2184-433X
AU - Yamazoe, M.
AU - Ohno, T.
AU - Matsubara, S.
PY - 2023
SP - 673
EP - 681
DO - 10.5220/0011743600003393
PB - SciTePress