Determination of language families using deep learning
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 23 references that are in the map. First posted on arXiv 4 Sep 2024.
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References · 4
- 2017Attention Is All You Needcited by 60,361
- 2014Sequence to Sequence Learning with Neural Networkscited by 2,986
- 2016Deep Neural Networks to Enable Real-time Multimessenger Astrophysicscited by 24
- 2018Decipherment of Historical Manuscript Imagescited by 7
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