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This paper explores the integration of ChatGPT, a state-of-the-art language model, in the domain of cultural heritage Artificial Intelligence-based e-learning, with a specific focus on the analysis and interpretation of lyrics and poems. Cultural heritage preservation and education have increasingly turned to Artificial Intelligence (AI) technologies to enhance learning experiences and promote the understanding and appreciation of diverse artistic expressions. We have conducted an initial empirical study on how ChatGPT can assist learners in analysing and interpreting poetic and lyrics works, offering insights into the historical, cultural, and literary significance embedded within the verses. Our findings highlight ChatGPT's significant potential but also major weaknesses with respect to poetry and lyrics. ChatGPT was found particularly good in the field of interpreting poetic content. Additionally, ChatGPT showed a very good performance in analogy identification, demonstrating a broad knowledge base encompassing various form of poetry, from Ancient Greek works to ecclesiastic hymns and modern compositions. However, opportunities for enhancement are evident in translation and historical context provision. Finally, ChatGPT's weakest aspect was its factual accuracy, occasionally producing errors without indicating uncertainty in its responses. Consequently, while ChatGPT displays substantial promise, its application in e-learning settings is not mature due to observed inaccuracies. Furthermore, we introduced MUSILYAN, a specialised software tool designed for musicological and lyrical analysis, complementing ChatGPT's capabilities. While Chat-GPT excels in natural language understanding and generation, MUSILYAN offers structured semantic content management and thematic organisation of lyrics. The integration of ChatGPT and MUSILYAN holds promise for enhancing the exploration and understanding of poetry and lyrics.
Virvou et al. (Mon,) studied this question.
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