We use a c-GAN (convolutional generative adversarial) neural network to analyze transliterated text fragments of extant, dead comprehensible, and one dead non-deciphered (Cypro-Minoan) language to establish linguistic affinities. The paper is agnostic with respect to translation and/or deciphering. However, there is hope that the proposed approach can be useful for decipherment with more sophisticated neural network techniques.
@article{arxiv.2409.02393,
title = {Determination of language families using deep learning},
author = {Peter B. Lerner},
journal= {arXiv preprint arXiv:2409.02393},
year = {2025}
}
Comments
Second draft with improved statistics of NN simulations. Comments are welcome