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Authors: Peng Sun 1 ; Tomohiro Ohno 2 and Shigeki Matsubara 1 ; 3

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

Keyword(s): Writing Assistance, Elaboration Support, Paraphrasing, Readability, Sorting Algorithm.

Abstract: In Japanese, some sentences are grammatically well-formed, but not easy to read. This paper proposes a method for Japanese word reordering, which first adapts a Japanese BERT model to predict suitable pairwise orderings between two words in a sentence, and then converts the predicted results into a graph. The vertices in the graph represent the words in the sentence. The edges represent the pairwise orderings between two words. Finally, topological sort is applied to find the correct word ordering in a sentence by visiting each graph vertex. We conducted an evaluation experiment with uneasy-to-read Japanese sentences created from newspaper article sentences.

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Paper citation in several formats:
Sun, P.; Ohno, T. and Matsubara, S. (2023). Japanese Word Reordering Based on Topological Sort. 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 768-775. DOI: 10.5220/0011775000003393

@conference{icaart23,
author={Peng Sun. and Tomohiro Ohno. and Shigeki Matsubara.},
title={Japanese Word Reordering Based on Topological Sort},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2023},
pages={768-775},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011775000003393},
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 - Japanese Word Reordering Based on Topological Sort
SN - 978-989-758-623-1
IS - 2184-433X
AU - Sun, P.
AU - Ohno, T.
AU - Matsubara, S.
PY - 2023
SP - 768
EP - 775
DO - 10.5220/0011775000003393
PB - SciTePress

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