@inproceedings{papavassileiou-kosmopoulos-2024-restoring,
    title = "Restoring {M}ycenaean {L}inear {B} {\textquoteleft}A{\&}{B}' series tablets using supervised and transfer learning",
    author = "Papavassileiou, Katerina  and
      Kosmopoulos, Dimitrios",
    editor = "Pavlopoulos, John  and
      Sommerschield, Thea  and
      Assael, Yannis  and
      Gordin, Shai  and
      Cho, Kyunghyun  and
      Passarotti, Marco  and
      Sprugnoli, Rachele  and
      Liu, Yudong  and
      Li, Bin  and
      Anderson, Adam",
    booktitle = "Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)",
    month = aug,
    year = "2024",
    address = "Hybrid in Bangkok, Thailand and online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2024.ml4al-1.13/",
    doi = "10.18653/v1/2024.ml4al-1.13",
    pages = "115--129",
    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."
}