Japanese Word Reordering Based on Topological Sort

Peng Sun, Tomohiro Ohno, Shigeki Matsubara, Shigeki Matsubara

2023

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.

Paper Citation

in Harvard Style

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, pages 768-775. DOI: 10.5220/0011775000003393

in Bibtex Style

@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},
}

in EndNote Style

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
AU - Sun P.
AU - Ohno T.
AU - Matsubara S.
PY - 2023
SP - 768
EP - 775
DO - 10.5220/0011775000003393