A Computational Clustering of Korean Classical Texts: Focusing on the Gogocheonbyeon Passage of Sugungga

摘要

In this study, a computational method was used to measure distances between texts, especially to measure variations which took place during the transmission of texts. Gogocheonbyeon is called nundaemog of Sugungga. Nun-daemog is one of the most essential and important parts of a Pansori, like arias of an opera. We selected 16 albums of 16 singers, and transcribed narratives from those albums, and also put the musical expressions on the Korean traditional musical score Jeongganbo. From these raw materials, the text-distances of the transcribed narratives were measured using Levenshtein distance, and the distance was normalized by the length of the narrative strings. And then the texts were clustered using hierarchical clustering methods. As a result, we found some differences between the lineage of Pansori transmission and the real narratives that some singers like Park Tongjin and Song Sunseob are somewhat distance from their masters.