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A Study of Measuring Text Distances using the Hierarchical Clustering Method in Application to Pansori Narratives

최운호 1,  김동건 1

1경희대학교

Accredited

ABSTRACT

In this study, a computational method was used to measure the distance values between texts, especially to measure the variations which took place during the transmission of texts. “Gogochenbyeon (a scene of rabbit marvelling at the beautiful scenary of land world)” is called ‘nundaemog’ of Sugungga. ‘Nundaemog’ is one of the most essential and important parts of a Pansori, like arias of an opera. So many Pansori singers recorded those ‘nundaemog’, and therefore, ‘gogochenbyeon’ has been recorded by several famous singers. We selected 16 albums of 16 singers, and transcribed the narratives from those albums to the texts, and also put the musical expressions (rhythm, rhythm pattern, key, beat) on the Korean traditional musical score ‘Jungganbo’. From these raw materials, the text-distances of the transcribed narratives were measured using Levenshtein distance, and the distances were normalized by the length of the narrative strings. And then the texts were clustered using hierarchical clustering methods and turned into the phylogenetic trees using neighbor-joining methods. After the result, we found some differences between the lineage of the Pansori transmission and the real narratives that some singers like Park Tongjin and Song Sunseob are somewhat distant from their pupils or masters.

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* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.
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