A Study on the Differentiation of the Meaning of ‘Aswium’ Type Emotional Verbs: Focusing on ‘aswipda, akkapda, seopseophada and seounhada’ by Analyzing the Co-occurring Nouns

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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.
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“Aswium”型情绪动词词义辨析研究——以“aswipda”、“akkapda”、“seopseophada”和“seounhada”为例,从共现名词分析
目的是揭示“aswium”型情感动词的共现名词的语义偏好,以便区分它们的意义。对于对外汉语学习者来说,同义词的习得对于扩大词汇知识和提高语言水平至关重要。然而,在不同的语境中区分同义词是很有挑战性的,尤其是在情感动词的情况下。仅仅依靠词典来理解情感词汇的语境意义也很困难,因为它无法捕捉到各种语境中复杂而微妙的差异。为了应对这些挑战,最近关于情感语言表达的研究利用了语料库语言学、人工智能机器学习和深度学习。本研究通过对语料库数据的分析,揭示了他们对韩国语“aswipda”型情绪动词“aswipda”、“akkapda”、“seopseophada”和“seounhada”共现名词的语义偏好,试图区分其意义。为开发实用、客观的词汇教学内容提供基础数据。
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