NER and Social Networks in Epigraphs

Supervisor: Dr. Phillip B. Ströbel

Have you ever wondered how ancient societies were connected? This master thesis offers you the chance to dive into the rich world of epigraphy, where thousands of inscriptions tell stories of people, power, and relationships in antiquity. Using cutting-edge Named Entity Recognition (NER) techniques, you’ll bring these ancient texts to life by extracting names and building social networks that map the connections of historical figures.

With access to a massive database of over 500,000 inscriptions, this project combines digital tools with historical analysis to uncover how individuals and groups were linked in the past. Whether you're passionate about history, linguistics, or computational methods, this is an opportunity to contribute to innovative research that bridges the ancient and digital worlds. Join us and help piece together the social fabric of antiquity!