2025/05/11 by Katsutoshi Fukuda, Kohmoto, Daichi, Fukuda, Katsutoshi +6
Arts and Humanities · Computer Science · Social Sciences · #Ancient Near East History #Computation and Language (cs.CL) #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Language and cultural evolution
paper · pdf · doi:10.48550/arxiv.2505.06974
openalex publication_date 2025/05/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A cuneiform tablet KBo 23.1 ++/KUB 30.38, which is known to represent a text of Kizzuwatna rituals, was written by two writers with almost identical content in two iterations. Unlike other cuneiform tablets that contained information such as myths, essays, or business records, the reason why ancient people left such tablets for posterity remains unclear. To study this problem, we develop a new methodology by analyzing images of a tablet quantitatively using CNN (Convolutional Neural Network)-based image models, without segmenting cuneiforms one-by-one. Our data-driven methodology implies that the writer writing the first half was a `teacher' and the other writer was a `student' who was training his skills of writing cuneiforms. This result has not been reached by classical linguistics. We also discuss related conclusions and possible further directions for applying our method and its generalizations.