Restoring Mycenaean Linear B ‘A&B’ series tablets using supervised and transfer learning

Katerina Papavassileiou, Dimitrios Kosmopoulos


Abstract
We investigate the problem of restoring Mycenaean linear B clay tablets, dating from about 1400 B.C. to roughly 1200 B.C., by using text infilling methods based on machine learning models. Our goals here are: first to try to improve the results of the methods used in the related literature by focusing on the characteristics of the Mycenaean Linear B writing system (series D), second to examine the same problem for the first time on series A&B and finally to investigate transfer learning using series D as source and the smaller series A&B as target. Our results show promising results in the supervised learning tasks, while further investigation is needed to better exploit the merits of transfer learning.
Anthology ID:
2024.ml4al-1.13
Volume:
Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)
Month:
August
Year:
2024
Address:
Hybrid in Bangkok, Thailand and online
Editors:
John Pavlopoulos, Thea Sommerschield, Yannis Assael, Shai Gordin, Kyunghyun Cho, Marco Passarotti, Rachele Sprugnoli, Yudong Liu, Bin Li, Adam Anderson
Venues:
ML4AL | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
115–129
Language:
URL:
https://aclanthology.org/2024.ml4al-1.13
DOI:
10.18653/v1/2024.ml4al-1.13
Bibkey:
Cite (ACL):
Katerina Papavassileiou and Dimitrios Kosmopoulos. 2024. Restoring Mycenaean Linear B ‘A&B’ series tablets using supervised and transfer learning. In Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024), pages 115–129, Hybrid in Bangkok, Thailand and online. Association for Computational Linguistics.
Cite (Informal):
Restoring Mycenaean Linear B ‘A&B’ series tablets using supervised and transfer learning (Papavassileiou & Kosmopoulos, ML4AL-WS 2024)
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PDF:
https://aclanthology.org/2024.ml4al-1.13.pdf