‘아쉬움’ 감정동사 의미 변별 연구

Abstract

The aim is to uncover the semantic preferences of the co-occurring nouns of the ‘aswium’ type emotional verbs in order to differentiate their meanings. For learners of Korean as a foreign language, the acquisition of synonyms is crucial for expanding vocabulary knowledge and improving language proficiency. However, distinguishing between synonyms with similar meanings in different contexts can be challenging, particularly in the case of emotional verbs. Simply relying on a dictionary to understand the contextual meaning of emotional vocabulary is also difficult, as it fails to capture the complex and nuanced differences in various contexts. To address these challenges, recent studies on linguistic expressions of emotion have utilized corpus linguistics, AI machine learning, and deep learning. By analyzing corpus data, this study attempts to distinguish their meaning by revealing their semantic preference for the co-occurring nouns of Korean ‘aswium’ type emotional verbs - ‘aswipda, akkapda, seopseophada and seounhada’. And provide basic data for developing practical and objective vocabulary education content.