Chat-AI Models’ Understanding of Conceptual Metaphors in Poetry

• 발행기관: 현대문법학회
• 저자명: Wonil Chung Euiyon Cho Kwonwoo Koo
• 간행물 정보: 『현대문법연구』제125호, 101~128쪽, 전체 28쪽
• 주제분류: 인문학 > 언어학
• 파일형태: PDF
• 발행일자: 2025.03.31

국문 초록

This study investigates how Chat-AI models interpret conceptual metaphors in poetry by analyzing their AI-generated responses and comparing them to human understanding. To investigate this, we conducted three experi- ments using four Chat-AI models: ChatGPT-4, ChatGPT-4o, Claude-3.5 Sonnet, and Gemini-2.0. Each experiment assessed the models’ implicit under- standing of metaphors by requiring them to either select or rate items that reflected metaphor meaning. In Experiment 1, the models outperformed human participants in a forced-choice task. In Experiments 2 and 3, the models analyzed excerpts of poetry containing conceptual metaphors. Notably, the models con- sistently distinguished between related and unrelated words or metaphors with high accuracy. However, their difficulty in interpreting personification highlights their struggle with metaphors that require deeper inferential reasoning. In our experiments of interpreting metaphors, Chat-AI models showed emergent ability to recognize, map, and evaluate metaphorical meanings. This indicates that an emergent property arises from their deep learning architectures, vast training data, and probabilistic language modeling, rather than human-like inferential reasoning. By examining AI’s performance in metaphor processing, this research contributes to broader discussions on computational creativity, language com- prehension, and the limitations of artificial intelligence in literary analysis.

목차

1. Introduction

2. Previous Studies

3. Experiments

4. General Discussion

5. Conclusion

References

키워드

conceptual metaphors poetry Chat-AI models novel metaphors computational approach