Kate Kelley
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2019
Sign Clustering and Topic Extraction in Proto-Elamite
Logan Born
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Kate Kelley
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Nishant Kambhatla
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Carolyn Chen
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Anoop Sarkar
Proceedings of the 3rd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
We describe a first attempt at using techniques from computational linguistics to analyze the undeciphered proto-Elamite script. Using hierarchical clustering, n-gram frequencies, and LDA topic models, we both replicate results obtained by manual decipherment and reveal previously-unobserved relationships between signs. This demonstrates the utility of these techniques as an aid to manual decipherment.