The precise classification and relationship of several ancient scripts has been the subject of debate for over a century. These controversial scripts include the Carian alphabet, the Elder Futhark alphabet, the Old Hungarian script, and the Yeniseian variant of the Old Turkic script. This paper settles the relationship among these controversial scripts in an objective and algorithmic way by using a Convolutional Neural Network augmented with a Generative Adversarial Network, which gives a probability of the membership of each sign in any script. The results yield a similarity metric between pairs of scripts, and that allows the mapping of the evolution of these scripts using a phylogenetic tree algorithm.

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Generative Adversarial Networks Reveal Carian, Elder Futhark, Old Hungarian and Old Turkic Script Relationships

  • Shohaib Shaffiey,
  • Peter Z. Revesz

摘要

The precise classification and relationship of several ancient scripts has been the subject of debate for over a century. These controversial scripts include the Carian alphabet, the Elder Futhark alphabet, the Old Hungarian script, and the Yeniseian variant of the Old Turkic script. This paper settles the relationship among these controversial scripts in an objective and algorithmic way by using a Convolutional Neural Network augmented with a Generative Adversarial Network, which gives a probability of the membership of each sign in any script. The results yield a similarity metric between pairs of scripts, and that allows the mapping of the evolution of these scripts using a phylogenetic tree algorithm.