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2019 NAACL NAACL 2019

Sign Clustering and Topic Extraction in Proto-Elamite

Abstract

AbstractWe 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.

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
🐣 Hot Topic Early Bird — hierarchical clustering
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio

Authors

Logan Born , Kate Kelley , Nishant Kambhatla , Carolyn Chen , Anoop Sarkar

Topics

Machine Learning > Core Methods > Clustering Natural Language Processing > Applications > Information Extraction

Keywords

topic modeling hierarchical clustering n-gram analysis
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