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 CITATION and CITATION 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.
BibTeX
@inproceedings{jo-etal-2023-k,
title = "K-{U}ni{M}orph: {K}orean {U}niversal {M}orphology and its Feature Schema",
author = "Jo, Eunkyul Leah and
Kim, Kyuwon and
Wu, Xihan and
Lim, KyungTae and
Park, Jungyeul and
Park, Chulwoo",
editor = "Rogers, Anna and
Boyd-Graber, Jordan and
Okazaki, Naoaki",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.findings-acl.414/",
doi = "10.18653/v1/2023.findings-acl.414",
pages = "6613--6623"
}