Determination of language families using deep learning

Peter B. Lerner
9/4/2024
cs.CL

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Abstract

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.

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Cite this paper

@article{lerner2024determination,
  title  = {Determination of language families using deep learning},
  author = {Peter B. Lerner},
  year   = {2024},
  eprint = {2409.02393},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2409.02393v2}
}

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