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Dating Greek Papyri with Text Regression
ConferencePaper (Artikel, die in Tagungsbänden erschienen sind)
 
ID 4699303
Author(s) Pavlopoulos, J.; Konstantinidou, M.; Marthot-Santaniello, I.; Essler H.; Paparigopoulou A.
Author(s) at UniBasel Marthot-Santaniello, Isabelle
Year 2023
Title Dating Greek Papyri with Text Regression
Book title (Conference Proceedings) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Place of Conference Toronto
Year of Conference 2023
Publisher Association for Computational Linguistics
Pages 10001–10013
Abstract

Dating Greek papyri accurately is crucial not only to edit their texts but also to understand numerous other aspects of ancient writing, document and book production and circulation, as well as various other aspects of administration, everyday life and intellectual history of antiquity. Although a substantial number of Greek papyri documents bear a date or other conclusive data as to their chronological placement, an even larger number can only be dated tentatively or in approximation, due to the lack of decisive evidence. By creating a dataset of 389 transcriptions of documentary Greek papyri, we train 389 regression models and we predict a date for the papyri with an average MAE of 54 years and an MSE of 1.17, outperforming image classifiers and other baselines. Last, we release date estimations for 159 manuscripts, for which only the upper limit is known

URL https://aclanthology.org/2023.acl-long.556
Digital Object Identifier DOI 10.18653/v1/2023.acl-long.556
   

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