SoriGraph: A New Database of Visual Feature-Level Descriptions of Written Korean

Wednesday Bushong, Hala Habahbeh, Ryan Jiang, Yoolim Kim


Abstract
Phoneticians and phonologists have developed featural systems that enable systematic description of human speech sounds. However, no such systems exist for describing the visual features of writing systems. It is critical to understand the features of writing systems given their central role in many language users’ everyday experience. Just as phonetic and phonological features provide insight into speech perception, visual features can play a similar role for studying reading. In this paper, we introduce SoriGraph, a database of visual feature descriptions and IPA transcriptions for the full lexicon of Korean, drawing on a recent large-scale study of the visual features of writing systems. This database enables analysis of the visual and phonological properties of Korean and will be a critical resource for researchers. We describe the construction of the database and provide an overview of several potential uses of the database, and demonstrate one potential usage (information-theoretic analysis of lexicon structure).
Anthology ID:
2026.cawl-1.4
Volume:
Proceedings of the Third Workshop on Computation and Written Language (CAWL 2026) @ LREC 2026
Month:
June
Year:
2026
Address:
Palma de Mallorca, Spain
Editor:
Kyle Gorman
Venues:
CAWL | WS
SIG:
SIGWrit
Publisher:
ELRA Language Resources Association (ELRA)
Note:
Pages:
45–49
Language:
External URL:
https://lrec.elra.info/lrec2026-ws-cawl-04
DOI:
10.63317/3pgytnqveysz
Bibkey:
Cite (ACL):
Wednesday Bushong, Hala Habahbeh, Ryan Jiang, and Yoolim Kim. 2026. SoriGraph: A New Database of Visual Feature-Level Descriptions of Written Korean. In Proceedings of the Third Workshop on Computation and Written Language (CAWL 2026) @ LREC 2026, pages 45–49, Palma de Mallorca, Spain. ELRA Language Resources Association (ELRA).
Cite (Informal):
SoriGraph: A New Database of Visual Feature-Level Descriptions of Written Korean (Bushong et al., CAWL 2026)
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