Machine Learning for the Study of Ancient Epigraphic Cultures

Project Information

PythiaPlus

Grant agreement ID: 101026185

DOI 10.3030/101026185

Project closed

EC signature date 5 March 2021

Start date 15 November 2021

End date 14 November 2023

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 171 473,28

EU contribution € 171 473,28

Coordinated by

UNIVERSITA CA' FOSCARI VENEZIA
Italy

Publications

Book chapters (1)

Sicilia epigrafica: dai depositi alla valorizzazione

Author(s): Prag, J., Sommerschield, T.
Published in: Beni Culturali: dai depositi alla valorizzazione. Modi, forme, esperienze, norme, 2021, Page(s) 117-136
Publisher: Edizioni Lussografica

Peer reviewed articles (3)

Predicting the past: machine learning for Greek epigraphy

Author(s): Sommerschield, T.
Published in: ARGO: A Hellenic Review, Issue 16, 2022, ISSN 2397-9836
Publisher: Society for the Promotion of Hellenic Studies

Machine learning for ancient languages: A survey

Author(s): Sommerschield, T.,* Assael, Y., * Pavlopoulos, J., * Stefanak, V., Senior, A., Dyer, Bodel, J., Prag, J., Androutsopoulos, I., de Freitas, N. [* co-first authors].
Published in: Computational Linguistics, Issue 29(2), 2023, Page(s) 1-45, ISSN 1530-9312
Publisher: MIT Press
DOI: 10.1162/coli_a_00481

Restoring and attributing ancient texts with deep neural networks

Author(s): Assael, Y.,* Sommerschield, T.,* Shillingford, B., Bordbar, M., Pavlopoulos, J., Chatzipanagiotou, M., Androutsopoulos, I., Prag, J., de Freitas, N. [*co-first authors]
Published in: Nature, Issue 00280836, 2022, Page(s) 280–283, ISSN 0028-0836
Publisher: Nature Publishing Group
DOI: 10.1038/s41586-022-04448-z