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

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

TL;DR

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.

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.

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

TL;DR

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.

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.
Paper Structure (17 sections, 3 figures)

This paper contains 17 sections, 3 figures.

Table of Contents

  1. Introduction
  2. Background and Related Work
  3. Dance and Computation
  4. Cultural Context
  5. Methodology
  6. Cyber Subin
  7. Text2Tradition
  8. Technical Implementation
  9. Results & Discussion
  10. Narratives
  11. Metaphors and Representations
  12. Lost in Translation?
  13. Interpretation and Epistemological Interplay
  14. Toward Cross-Cultural Co-Creation
  15. Future Directions
  16. ...and 2 more sections

Figures (3)

  • Figure 1: Web interface of text2tradition, encouraging new cultural co-creation through the reflection and interpretations between epistemological tensions of Thai dance and LLM dataset
  • Figure 2: Dance Generation Process in Text2Tradition
  • Figure 3: Three Generated Dances from Three Contemporary Tales