@inproceedings{born-etal-2019-sign,
title = "Sign Clustering and Topic Extraction in {P}roto-{E}lamite",
author = "Born, Logan and
Kelley, Kate and
Kambhatla, Nishant and
Chen, Carolyn and
Sarkar, Anoop",
editor = "Alex, Beatrice and
Degaetano-Ortlieb, Stefania and
Kazantseva, Anna and
Reiter, Nils and
Szpakowicz, Stan",
booktitle = "Proceedings of the 3rd Joint {SIGHUM} Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature",
month = jun,
year = "2019",
address = "Minneapolis, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-2516",
doi = "10.18653/v1/W19-2516",
pages = "122--132",
abstract = "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.",
}
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%0 Conference Proceedings
%T Sign Clustering and Topic Extraction in Proto-Elamite
%A Born, Logan
%A Kelley, Kate
%A Kambhatla, Nishant
%A Chen, Carolyn
%A Sarkar, Anoop
%Y Alex, Beatrice
%Y Degaetano-Ortlieb, Stefania
%Y Kazantseva, Anna
%Y Reiter, Nils
%Y Szpakowicz, Stan
%S Proceedings of the 3rd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, USA
%F born-etal-2019-sign
%X 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.
%R 10.18653/v1/W19-2516
%U https://aclanthology.org/W19-2516
%U https://doi.org/10.18653/v1/W19-2516
%P 122-132
Markdown (Informal)
[Sign Clustering and Topic Extraction in Proto-Elamite](https://aclanthology.org/W19-2516) (Born et al., LaTeCH 2019)
ACL
- Logan Born, Kate Kelley, Nishant Kambhatla, Carolyn Chen, and Anoop Sarkar. 2019. Sign Clustering and Topic Extraction in Proto-Elamite. In Proceedings of the 3rd Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 122–132, Minneapolis, USA. Association for Computational Linguistics.