K-UniMorph: Korean Universal Morphology and its Feature Schema

Authors: Eunkyul Leah Jo, Kyuwon Kim, Xihan Wu, KyungTae Lim, Jungyeul Park, Chulwoo Park

Findings of the Association for Computational Linguistics: ACL 2023 (Camera-ready)
License: CC BY 4.0

Results of the summarizing process for the arXiv paper: 2305.06335v3

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In this paper, the authors propose a new Universal Morphology dataset for the Korean language. To address the underrepresentation of Korean in the field of morphological paradigms compared to other languages, they introduce the K-UniMorph dataset which aims to preserve its distinct characteristics. The authors adopt a morphological feature schema from previous works by Sylak-Glassman et al. (2015) and Sylak-Glassman (2016) for the Korean language. They extract inflected verb forms from the Sejong morphologically analyzed corpus - one of the largest annotated corpora for Korean consisting of over 0.6 million sentences and 9.5 million words - and investigate its correctness during data creation. Additionally, they generate morphological schemata based on their findings and focus specifically on annotating morphological data for verbs (V), separating postpositions from substantive elements like noun phrases. The paper provides detailed explanations on how to extract inflected verbal forms and outlines each grammatical criterion in detail for these forms. It also presents a morphological schema for Korean UniMorph that incorporates features from Sylak-Glassman et al. (2015) and Sylak-Glassman (2016). This schema includes four types of verbal endings: sentence final ending (ef), non-final ending (ep), conjunctive ending (ec), and modifier ending (etm). Furthermore, it discusses two grammatical categories: evidentiality and interrogativity which reflect source of information conveyed in a proposition or indicate whether a statement or question is being expressed respectively with different sentence final endings denoting declarative or interrogative forms. The authors conclude by discussing future perspectives on Korean morphological paradigms and the dataset they have created. Overall, this paper presents a comprehensive and detailed approach to creating a Universal Morphology dataset for the Korean language offering valuable insights into its morphological features as well as potential directions for further research in this area.
AI-generated keywords: K-UniMorph Sejong corpus Korean language morphological schema verb inflection

AI-generated Key Points

  • Authors propose a new Universal Morphology dataset for the Korean language
  • Introduce the K-UniMorph dataset to address underrepresentation of Korean in morphological paradigms
  • Adopt a morphological feature schema from previous works by Sylak-Glassman et al. (2015) and Sylak-Glassman (2016)
  • Extract inflected verb forms from the Sejong morphologically analyzed corpus
  • Focus on annotating morphological data for verbs, separating postpositions from substantive elements
  • Detailed explanations on how to extract inflected verbal forms and grammatical criteria
  • Morphological schema includes four types of verbal endings: sentence final ending (ef), non-final ending (ep), conjunctive ending (ec), and modifier ending (etm)
  • Discuss two grammatical categories: evidentiality and interrogativity, reflected in sentence final endings denoting declarative or interrogative forms
  • Conclude by discussing future perspectives on Korean morphological paradigms and the dataset created
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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.

Submitted to arXiv on 10 May. 2023

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