I am a Ph.D. candidate at the Department of Informatics at Athens University of Economics and Business and an Archimedes/Athena RC Research Fellow, specializing in machine learning for written material culture, with postgraduate studies at the Department of Informatics at the Athens University of Economics and Business and the Department of Philology at the National and Kapodistrian University of Athens.
My expertise lies in Optical Character Recognition for ancient Greek handwritten texts, with published work on Byzantine text recognition and error correction. I have contributed to Digital Paleography and Papyrology research projects as a visiting research fellow at the Centre for Digital and Public Humanities of Ca’ Foscari University of Venice and at the Department of Linguistics of Ghent University and received training on digital approaches to papyrology, paleography, epigraphy, and sigillography from leading academic institutions, including Heidelberg, London, Oxford, Cologne, and Dartmouth. My research combines classical studies and digital methods to enhance the study of ancient cultures and cultural heritage.
Archimedes/Athena RC: Research collaboration in machine learning for Natural Language Processing (NLP). 🔗Link
Oxford University: Research collaboration on the PARSing and Multi-word Expressions project. 🔗Link
Ghent University: Database management and paleographic annotation for the ERC project “Everyday Writing in Graeco-Roman and Late Antique Egypt”. 🔗Link
Venice Centre for Digital and Public Humanities, Ca’ Foscari University of Venice: Participation in the HTREC 2022 project and the Venice Summer School for Digital and Public Humanities. 🔗Link
Institute for Classical Studies, University of London (UCL): Archival and library work, including curating the Michael Ventris collection.
John Pavlopoulos, Vasiliki Kougia, Esteban Garces Arias, Paraskevi Platanou, Stepan Shabalin, Konstantina Liagkou, Emmanouil Papadatos, Holger Essler, Jean-Baptiste Camps, and Franz Fischer. 2024. Challenging Error Correction in Recognised Byzantine Greek. In Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024), pp. 1–12, Bangkok, Thailand. Association for Computational Linguistics.
John Pavlopoulos, Vasiliki Kougia, Paraskevi Platanou, and Holger Essler. 2023. Detecting Erroneously Recognized Handwritten Byzantine Text. In Findings of the Association for Computational Linguistics: EMNLP 2023, pp. 7818–7828, Singapore. Association for Computational Linguistics.
P. Platanou, J. Pavlopoulos, G. Papaioannou. Handwritten Paleographic Greek Text Recognition: A Century-Based Approach. Proc. Conference on Language Resources and Evaluation (LREC 2022), pp. 6585–6589, 2022.
Academic Theses:
"Conflictual Relationships in Papyrological Letters of Roman and Byzantine Egypt," supervised by Associate Professor A. Koroli and Professor A. Papathomas.
"Deep Learning-Based OCR for Greek Paleographic Manuscripts," supervised by Associate Professor G. Papaioannou and Assistant Professor I. Pavlopoulos.
HTR and OCR from Papyrus to Codex. SunoikisisDC Summer 2024, Online.
HTR of Handwritten Paleographic Greek Text as a Function of Chronology. École nationale des chartes. Paris, 2022.
Machine Learning Applications in Old Greek Manuscripts. Newcastle University, 2022.
Machine Learning Applications in Old Greek Manuscripts. UCL Lyceum Classics Community Seminar. University College London, 2022.