Knowing the Words, Missing the Meaning: Evaluating LLMs’ Cultural Understanding Through Sino-Korean Words and Four-Character Idioms

This study proposes a new benchmark to evaluate the cultural understanding and natural language processing capabilities of large language models based on Sino-Korean words and four-character idioms. Those are essential linguistic and cultural assets in Korea. Reflecting the official question types of the Korean Hanja Proficiency Test, we constructed four question categories—four-character idioms, synonyms, antonyms, and homophones—and systematically compared the performance of GPT-based and non-GPT LLMs. GPT-4o showed the highest accuracy and explanation quality. However, challenges remain in distinguishing the subtle nuances of individual characters and in adapting to uniquely Korean meanings as opposed to standard Chinese character interpretations. Our findings reveal a gap in LLMs’ understanding of Korea-specific Hanja culture and underscore the need for evaluation tools reflecting these cultural distinctions.

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Journal
Applied Sciences
Published
2025-07-05
DOI
https://doi.org/10.3390/app15137561
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
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article

Knowing the Words, Missing the Meaning: Evaluating LLMs’ Cultural Understanding Through Sino-Korean Words and Four-Character Idioms

Eunsong Lee, Dongsuk Oh, Hai-Dung Do, Minsu Kim
Applied Sciences
Natural Language Processing Techniques
article

Knowing the Words, Missing the Meaning: Evaluating LLMs’ Cultural Understanding Through Sino-Korean Words and Four-Character Idioms

Eunsong Lee, Dongsuk Oh, Hai-Dung Do, Minsu Kim
article en

Abstract

This study proposes a new benchmark to evaluate the cultural understanding and natural language processing capabilities of large language models based on Sino-Korean words and four-character idioms. Those are essential linguistic and cultural assets in Korea. Reflecting the official question types of the Korean Hanja Proficiency Test, we constructed four question categories—four-character idioms, synonyms, antonyms, and homophones—and systematically compared the performance of GPT-based and non-GPT LLMs. GPT-4o showed the highest accuracy and explanation quality. However, challenges remain in distinguishing the subtle nuances of individual characters and in adapting to uniquely Korean meanings as opposed to standard Chinese character interpretations. Our findings reveal a gap in LLMs’ understanding of Korea-specific Hanja culture and underscore the need for evaluation tools reflecting these cultural distinctions.

Applied SciencesVol. 15(13)
Kyungpook National University (KR)
Openalex Percentile: Top 92%
Natural Language Processing Techniques
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Knowing the Words, Missing the Meaning: Evaluating LLMs’ Cultural Understanding Through Sino-Korean Words and Four-Character Idioms — Eunsong Lee, Dongsuk Oh, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS