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    <abstract>Modern Chinese characters evolved from 3,000 years ago. Up to now, tens of thousands of glyphs of ancient characters have been discovered, which must be deciphered by experts to interpret unearthed documents. Experts usually need to compare each ancient character to be examined with similar known ones in whole historical periods. However, it is inevitably limited by human memory and experience, which often cost a lot of time but associations are limited to a small scope. To help researchers discover glyph similar characters, this paper introduces ZiNet, the first diachronic knowledge base describing relationships and evolution of Chinese characters and words. In addition, powered by the knowledge of radical systems in ZiNet, this paper introduces glyph similarity measurement between ancient Chinese characters, which could capture similar glyph pairs that are potentially related in origins or semantics. Results show strong positive correlations between scores from the method and from human experts. Finally, qualitative analysis and implicit future applications are presented.</abstract>
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%0 Conference Proceedings
%T ZiNet: Linking Chinese Characters Spanning Three Thousand Years
%A Chi, Yang
%A Giunchiglia, Fausto
%A Shi, Daqian
%A Diao, Xiaolei
%A Li, Chuntao
%A Xu, Hao
%Y Muresan, Smaranda
%Y Nakov, Preslav
%Y Villavicencio, Aline
%S Findings of the Association for Computational Linguistics: ACL 2022
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F chi-etal-2022-zinet
%X Modern Chinese characters evolved from 3,000 years ago. Up to now, tens of thousands of glyphs of ancient characters have been discovered, which must be deciphered by experts to interpret unearthed documents. Experts usually need to compare each ancient character to be examined with similar known ones in whole historical periods. However, it is inevitably limited by human memory and experience, which often cost a lot of time but associations are limited to a small scope. To help researchers discover glyph similar characters, this paper introduces ZiNet, the first diachronic knowledge base describing relationships and evolution of Chinese characters and words. In addition, powered by the knowledge of radical systems in ZiNet, this paper introduces glyph similarity measurement between ancient Chinese characters, which could capture similar glyph pairs that are potentially related in origins or semantics. Results show strong positive correlations between scores from the method and from human experts. Finally, qualitative analysis and implicit future applications are presented.
%R 10.18653/v1/2022.findings-acl.242
%U https://aclanthology.org/2022.findings-acl.242
%U https://doi.org/10.18653/v1/2022.findings-acl.242
%P 3061-3070

Markdown (Informal)

[ZiNet: Linking Chinese Characters Spanning Three Thousand Years](https://aclanthology.org/2022.findings-acl.242) (Chi et al., Findings 2022)

• ZiNet: Linking Chinese Characters Spanning Three Thousand Years (Chi et al., Findings 2022)

ACL

• Yang Chi, Fausto Giunchiglia, Daqian Shi, Xiaolei Diao, Chuntao Li, and Hao Xu. 2022. ZiNet: Linking Chinese Characters Spanning Three Thousand Years. In Findings of the Association for Computational Linguistics: ACL 2022, pages 3061–3070, Dublin, Ireland. Association for Computational Linguistics.