Πλοήγηση ανά Επιβλέπων "Konstantinidou, Maria"

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Α Β Γ Δ Ε Ζ Η Θ Ι Κ Λ Μ Ν Ξ Ο Π Ρ Σ Τ Υ Φ Χ Ψ Ω

Τώρα δείχνει 1 - 1 από 1

Chronological attribution of papyri using machine learning
(12/21/2021) Paparrigopoulou, Asimina; Παπαρρηγοπούλου, Ασημίνα; Athens University of Economics and Business, Department of Informatics; Konstantinidou, Maria; Pavlopoulos, Ioannis; Androutsopoulos, Ion; Konstantinidou, Maria; Pavlopoulos, Ioannis
Dating papyri accurately is crucial not only to editing their texts, but also for our understanding of palaeography and the history of writing, ancient scholarship, material culture, networks in antiquity, etc. Most ancient manuscripts offer little evidence regarding the time of their production, forcing papyrologists to date them on palaeographical grounds, a method often criticized for its subjectivity. In this thesis, with data obtained from the Collaborative Database of Dateable Greek Bookhands (https://www.baylor.edu/classics/index.php?id=958430, Baylor University) and the PapPal (http://www.pappal.info/, University of Heidelberg) online collections of objectively dated Greek papyri, we created two datasets of literary papyri and documents respectively, which can be used by machines for the task of computational papyri dating. By experimenting with this datasets, we showed that deep learning dating models, pre-trained on generic images and fine-tuned on a training subset of the data, can achieve accurate chronological estimates for a test subset (69.93% accuracy for bookhands and 56.76% for documents). To compare the estimates of our models with those of humans, experts were asked to complete a questionnaire with samples of literary and documentary hands that had to be sorted chronologically by century. The same samples were dated by the models in question. This paper presents and analyses the results, which show that in some cases the estimates of our models do not deviate from the actual date more than those of humans.