cs.CLMar 20, 2026

Curation of a Palaeohispanic Dataset for Machine Learning

Authors: Gonzalo Martínez-Fernández, Jose F Quesada, Agustín Riscos-Núñez, Francisco José Salguero-Lamillar

Organizations: Department of Computer Science and Artificial Intelligence, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012 Seville, Spain · Department of Spanish Language, Linguistics and Theory of Literature, University of Seville, C/ Palos de la Frontera s/n 41004, Seville, Spain

Abstract

Palaeohispanic languages are those spoken in the Iberian Peninsula before the arrival of the Romans in the 3rd Century B.C. Their study was really put on motion after Gómez Moreno deciphered the Iberian Levantine script, one of the several semi-sillabaries used by these languages. Still, the Palaeohispanic languages have varying degrees of decipherment, and none is fully known to this day. Most of the studies have been performed from a purely linguistic point of view, and a computational approach may benefit this research area greatly. However, the resources are limited and presented in an unsuitable format for techniques such as Machine Learning. Therefore, a structured dataset is constructed, which will hopefully allow more progress in the field.

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Appendix

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