@inproceedings{sahala-lincke-2024-neural,
title = "Neural Lemmatization and {POS}-tagging models for {C}optic, Demotic and Earlier {E}gyptian",
author = "Sahala, Aleksi and
Lincke, Eliese-Sophia",
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://aclanthology.org/2024.ml4al-1.10",
pages = "87--97",
abstract = "We present models for lemmatizing and POS-tagging Earlier Egyptian, Coptic and Demotic to test the performance of our pipeline for the ancient languages of Egypt. Of these languages, Demotic and Egyptian are known to be difficult to annotate due to their high extent of ambiguity. We report lemmatization accuracy of 86{\%}, 91{\%} and 99{\%}, and XPOS-tagging accuracy of 89{\%}, 95{\%} and 98{\%} for Earlier Egyptian, Demotic and Coptic, respectively.",
}
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%0 Conference Proceedings
%T Neural Lemmatization and POS-tagging models for Coptic, Demotic and Earlier Egyptian
%A Sahala, Aleksi
%A Lincke, Eliese-Sophia
%Y Pavlopoulos, John
%Y Sommerschield, Thea
%Y Assael, Yannis
%Y Gordin, Shai
%Y Cho, Kyunghyun
%Y Passarotti, Marco
%Y Sprugnoli, Rachele
%Y Liu, Yudong
%Y Li, Bin
%Y Anderson, Adam
%S Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)
%D 2024
%8 August
%I Association for Computational Linguistics
%C Hybrid in Bangkok, Thailand and online
%F sahala-lincke-2024-neural
%X We present models for lemmatizing and POS-tagging Earlier Egyptian, Coptic and Demotic to test the performance of our pipeline for the ancient languages of Egypt. Of these languages, Demotic and Egyptian are known to be difficult to annotate due to their high extent of ambiguity. We report lemmatization accuracy of 86%, 91% and 99%, and XPOS-tagging accuracy of 89%, 95% and 98% for Earlier Egyptian, Demotic and Coptic, respectively.
%U https://aclanthology.org/2024.ml4al-1.10
%P 87-97
Markdown (Informal)
[Neural Lemmatization and POS-tagging models for Coptic, Demotic and Earlier Egyptian](https://aclanthology.org/2024.ml4al-1.10) (Sahala & Lincke, ML4AL-WS 2024)
ACL