The Conceptualization of Common Jordanian Metaphorical Expressions: A Comparative Study between AI and Human Interpretation
DOI:
https://doi.org/10.25130/jfa.conf.10.2.24Keywords:
AI Interpretation, Human Interpretation, Metaphorical Expressions, and Human conceptualizationsAbstract
This study aims at exploring metaphorical conceptualizations of the most common expressions in Jordanian Arabic through a comparative analysis between human interpretation and Artificial Intelligence (AI)-based interpretation. Depending on the theoretical bases of Conceptual Metaphor Theory (Lakoff & Johnson, 1980) and Cultural Linguistics, the current study examines the way by which metaphors are constructed cognitively and culturally in the human mind in comparison to how they are produced computationally through AI systems. This paper adopts a qualitative, descriptive, and comparative design, including the purposive selection of fourteen culturally rooted Jordanian metaphors. The human interpretations were gathered from a sample of native speakers of Jordanian Arabic through both interviews and written responses, while AI interpretations were produced through wide language models such as ChatGPT and Gemini.The analysis of data mainly included the conduct of conceptual and cultural mapping based on the theoretical frameworks adopted in the study to identify the main notable metaphor comprehension differences. Accordingly it has been noticed that AI has the ability to imitate the metaphorical conceptual structure based on the mechanisms of Conceptual Metaphor Theory with relatively high accuracy
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