Going beyond tools: Deep neural networks for ancient Greek epigraphic networks Thea Sommerscheid (Nottingham)
This is a School of Classics Event.
**Abstracts**
Recent advances in Artificial Intelligence are transforming the study of ancient languages, enabling tasks such as digitisation, restoration, and decipherment. But can these AI tools go further, and be used to advance historical knowledge? In this talk, I explore how Ithaca, a machine learning model for restoring and attributing ancient Greek inscriptions, can move beyond technical applications to uncover deeper historical patterns. Using epigraphic data from approximately 80,000 inscriptions, I present preliminary results of my research using Ithaca to reveal shared practices—dialects, formulae, and nomima—that connected Greek settlements across the Mediterranean. This approach highlights the potential of AI to offer unprecedented insights into networks of movement and connectivity in the ancient world.
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