Humanist Discussion Group, Vol. 34, No. 75. Department of Digital Humanities, King's College London Hosted by King's Digital Lab www.dhhumanist.org Submit to: firstname.lastname@example.org 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. ALL WELCOME == Dr Gabriel BODARD Reader in Digital Classics Institute of Classical Studies University of London Senate House Malet Street London WC1E 7HU E: Gabriel.email@example.com T: +44 (0)20 78628752 _______________________________________________ Unsubscribe at: http://dhhumanist.org/Restricted List posts to: firstname.lastname@example.org List info and archives at at: http://dhhumanist.org Listmember interface at: http://dhhumanist.org/Restricted/ Subscribe at: http://dhhumanist.org/membership_form.php
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