# Curation of a Palaeohispanic Dataset for Machine Learning

arXiv: https://arxiv.org/abs/2604.13070 · HTML: https://mlsanity.com/paper/2604.13070/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 48 references that are in the map.
- First posted on arXiv 20 Mar 2026.

## Builds on (most cited first, 5 of 5)

- [Attention Is All You Need](https://mlsanity.com/paper/1706.03762/) (2017)
- [GPT-4 Technical Report](https://mlsanity.com/paper/2303.08774/) (2023)
- [mT5: A massively multilingual pre-trained text-to-text transformer](https://mlsanity.com/paper/2010.11934/) (2020)
- [Deciphering Undersegmented Ancient Scripts Using Phonetic Prior](https://mlsanity.com/paper/2010.11054/) (2020)
- [Evaluating Compact LLMs for Zero-Shot Iberian Language Tasks on End-User Devices](https://mlsanity.com/paper/2504.03312/) (2025)

## Abstract (arXiv)

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 G'omez 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.