English

KOMBO: Korean Character Representations Based on the Combination Rules of Subcharacters

Computation and Language 2026-04-28 v1 Artificial Intelligence

Abstract

The Korean writing system, \textit{Hangeul}, has a unique character representation rigidly following the invention principles recorded in \textit{Hunminjeongeum}.\footnote{\textit{Hunminjeongeum} is a book published in 1446 that describes the principles of invention and usage of \textit{Hangeul}, devised by King Sejong \cite{Hunminjeongeum_Guide}.} However, existing pre-trained language models (PLMs) for Korean have overlooked these principles. In this paper, we introduce a novel framework for Korean PLMs called KOMBO, which firstly brings the invention principles of \textit{Hangeul} to represent character. Our proposed method, KOMBO, exhibits notable experimental proficiency across diverse NLP tasks. In particular, our method outperforms the state-of-the-art Korean PLM by an average of 2.11\% in five Korean natural language understanding tasks. Furthermore, extensive experiments demonstrate that our proposed method is suitable for comprehending the linguistic features of the Korean language. Consequently, we shed light on the superiority of using subcharacters over the typical subword-based approach for Korean PLMs. Our code is available at: [https://github.com/SungHo3268/KOMBO](https://github.com/SungHo3268/KOMBO).

Cite

@article{arxiv.2604.23948,
  title  = {KOMBO: Korean Character Representations Based on the Combination Rules of Subcharacters},
  author = {SungHo Kim and Juhyeong Park and Yeachan Kim and SangKeun Lee},
  journal= {arXiv preprint arXiv:2604.23948},
  year   = {2026}
}

Comments

Presented at ACL 2024 Findings

R2 v1 2026-07-01T12:36:11.658Z