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arXiv · 2409.00203

Text2Tradition: From Epistemological Tensions to AI-Mediated Cross-Cultural Co-Creation

Pat Pataranutaporn·Chayapatr Archiwaranguprok·Phoomparin Mano·Piyaporn Bhongse-tong·Pattie Maes·Pichet Klunchun
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Abstract

This paper introduces Text2Tradition, a system designed to bridge the epistemological gap between modern language processing and traditional dance knowledge by translating user-generated prompts into Thai classical dance sequences. Our approach focuses on six traditional choreographic elements from No. 60 in Mae Bot Yai, a revered Thai dance repertoire, which embodies culturally specific knowledge passed down through generations. In contrast, large language models (LLMs) represent a different form of knowledge--data-driven, statistically derived, and often Western-centric. This research explores the potential of AI-mediated systems to connect traditional and contemporary art forms, highlighting the epistemological tensions and opportunities in cross-cultural translation.

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Pat Pataranutaporn, Chayapatr Archiwaranguprok, Phoomparin Mano, Piyaporn Bhongse-tong, Pattie Maes, Pichet Klunchun. 2024-08-30. Text2Tradition: From Epistemological Tensions to AI-Mediated Cross-Cultural Co-Creation. https://arxiv.org/abs/2409.00203

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