Lune

ACL Findings2023

K-UniMorph: Korean Universal Morphology and its Feature Schema

Eunkyul Leah Jo, Kyuwon Kim, Xihan Wu, Kyungtae Lim, Jungyeul Park, Chulwoo Park

Abstract

We present in this work a new Universal Morphology dataset for Korean. Previously, the Korean language has been underrepresented in the field of morphological paradigms amongst hundreds of diverse world languages. Hence, we propose this Universal Morphological paradigms for the Korean language that preserve its distinct characteristics. For our K-UniMorph dataset, we outline each grammatical criterion in detail for the verbal endings, clarify how to extract inflected forms, and demonstrate how we generate the morphological schemata. This dataset adopts morphological feature schema from Sylak-Glassman et al. (2015) and Sylak-Glassman (2016) for the Korean language as we extract inflected verb forms from the Sejong morphologically analyzed corpus that is one of the largest annotated corpora for Korean. During the data creation, our methodology also includes investigating the correctness of the conversion from the Sejong corpus. Furthermore, we carry out the inflection task using three different Korean word forms: letters, syllables and morphemes. Finally, we discuss and describe future perspectives on Korean morphological paradigms and the dataset.

Ask Lune

Ask anything. The answer quotes the paper.

Lune reads all of it and the papers around it, then shows you the passages behind every answer.

Questions to start from

Lune answers from

the full paper · related work

Get the answer

Free to start. No credit card required.

Related papers

  1. Beyond Distribution: Investigating Language Models' Understanding of Sino-Korean MorphemesTaehee JeonEMNLP Findings 2025
  2. Diversifying language models for lesser-studied languages and language-usage contexts: A case of second language KoreanHakyung Sung, Gyu-Ho ShinEMNLP Findings 2023 · 1 citation
  3. SCRIPT: A Subcharacter Compositional Representation Injection Module for Korean Pre-Trained Language ModelsSungHo Kim, Juhyeong Park, Eda Atalay, SangKeun LeeACL Findings 2026
  4. Towards standardizing Korean Grammatical Error Correction: Datasets and AnnotationSoyoung Yoon, Sungjoon Park, Gyuwan Kim, Junhee Cho et al.ACL 2023 · 6 citations
  5. Fine-Grained Analysis of Cross-Linguistic Syntactic DivergencesDmitry Nikolaev, Ofir Arviv, Taelin Karidi, Neta Kenneth et al.ACL 2020 · 1 citation
Dusk over the sea between two cliffs drawn in fine vertical lines