Unlocking Korean Verbs: A User-Friendly Exploration into the Verb Lexicon

• URL: http://arxiv.org/abs/2410.01100v1
• Date: Tue, 1 Oct 2024 22:03:34 GMT
• Title: Unlocking Korean Verbs: A User-Friendly Exploration into the Verb Lexicon
• Authors: Seohyun Song, Eunkyul Leah Jo, Yige Chen, Jeen-Pyo Hong, Kyuwon Kim, Jin Wee, Miyoung Kang, KyungTae Lim, Jungyeul Park, Chulwoo Park,
• Abstract summary: Sejong dictionary dataset offers extensive coverage of morphology, syntax, and semantic representation. The labeled linguistic structures within this dataset form the basis for uncovering relationships between words and phrases. This paper introduces a user-friendly web interface designed for the collection and consolidation of verb-related information.
• Score: 5.358486800301437
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: The Sejong dictionary dataset offers a valuable resource, providing extensive coverage of morphology, syntax, and semantic representation. This dataset can be utilized to explore linguistic information in greater depth. The labeled linguistic structures within this dataset form the basis for uncovering relationships between words and phrases and their associations with target verbs. This paper introduces a user-friendly web interface designed for the collection and consolidation of verb-related information, with a particular focus on subcategorization frames. Additionally, it outlines our efforts in mapping this information by aligning subcategorization frames with corresponding illustrative sentence examples. Furthermore, we provide a Python library that would simplify syntactic parsing and semantic role labeling. These tools are intended to assist individuals interested in harnessing the Sejong dictionary dataset to develop applications for Korean language processing.

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