PYTHIA: a deep neural network model for the automatic restoration of ancient Greek inscriptions

PYTHIA: a deep neural network model for the automatic restoration of ancient Greek inscriptions
Date
5 June 2020, 5.30pm - 7.00pm
Type
Seminar
Description

Thea Sommerschield, Oxford

This event will be held online at https://www.youtube.com/watch?v=nKSfzHYmLtQ


Ancient History relies on Epigraphy, the study of ancient inscribed texts (called "inscriptions"), for evidence of the recorded past. However, inscriptions are often damaged over the centuries, and illegible parts of the text must be restored by epigraphists. PYTHIA is the first ancient text restoration model that recovers missing characters from a damaged text input using deep neural networks. Its architecture is carefully designed to handle long-term context information, and deal efficiently with missing or corrupted character and word representations. I will present this research, give examples of PYTHIA at work, and demonstrate how to use the model for personal research.

Contact

Valerie James
valerie.james@sas.ac.uk
020 7862 8716