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Humanist Archives: June 2, 2020, 11:50 a.m. Humanist 34.75 - events: neural network model for restoring ancient inscriptions

                  Humanist Discussion Group, Vol. 34, No. 75.
            Department of Digital Humanities, King's College London
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        Date: 2020-06-01 12:18:49+00:00
        From: Gabriel Bodard 
        Subject: Seminar: Machine learning for epigraphic text restoration

Digital Classicist London Seminar 2020

Thea Sommerschield (Oxford), PYTHIA: a deep neural network model for the
automatic restoration of ancient Greek inscriptions

Fri, Jun 5, 2020, 17:30 (UK time)
Institute of Classical Studies, University of London
Online seminar, streamed live at: https://youtu.be/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.


Dr Gabriel BODARD
Reader in Digital Classics

Institute of Classical Studies
University of London
Senate House
Malet Street
London WC1E 7HU

E: Gabriel.bodard@sas.ac.uk
T: +44 (0)20 78628752

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