CLMay 10, 2023

K-UniMorph: Korean Universal Morphology and its Feature Schema

arXiv:2305.06335v3224 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a gap in morphological resources for Korean, which is incremental as it applies existing methods to a new language.

The authors tackled the underrepresentation of Korean in morphological datasets by creating K-UniMorph, a new Universal Morphology dataset for Korean that preserves its distinct characteristics, using the Sejong corpus and existing feature schemata.

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.

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