@inproceedings{gambardella-etal-2022-identifying,
title = "Identifying Cleartext in Historical Ciphers",
author = "Gambardella, Maria-Elena and
Megyesi, Beata and
Pettersson, Eva",
editor = "Sprugnoli, Rachele and
Passarotti, Marco",
booktitle = "Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lt4hala-1.1",
pages = "1--9",
abstract = "In historical encrypted sources we can find encrypted text sequences, also called ciphertext, as well as non-encrypted cleartexts written in a known language. While most of the cryptanalysis focuses on the decryption of ciphertext, cleartext is often overlooked although it can give us important clues about the historical interpretation and contextualisation of the manuscript. In this paper, we investigate to what extent we can automatically distinguish cleartext from ciphertext in historical ciphers and to what extent we are able to identify its language. The problem is challenging as cleartext sequences in ciphers are often short, up to a few words, in different languages due to historical code-switching. To identify the sequences and the language(s), we chose a rule-based approach and run 7 different models using historical language models on various ciphertexts.",
}
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%0 Conference Proceedings
%T Identifying Cleartext in Historical Ciphers
%A Gambardella, Maria-Elena
%A Megyesi, Beata
%A Pettersson, Eva
%Y Sprugnoli, Rachele
%Y Passarotti, Marco
%S Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F gambardella-etal-2022-identifying
%X In historical encrypted sources we can find encrypted text sequences, also called ciphertext, as well as non-encrypted cleartexts written in a known language. While most of the cryptanalysis focuses on the decryption of ciphertext, cleartext is often overlooked although it can give us important clues about the historical interpretation and contextualisation of the manuscript. In this paper, we investigate to what extent we can automatically distinguish cleartext from ciphertext in historical ciphers and to what extent we are able to identify its language. The problem is challenging as cleartext sequences in ciphers are often short, up to a few words, in different languages due to historical code-switching. To identify the sequences and the language(s), we chose a rule-based approach and run 7 different models using historical language models on various ciphertexts.
%U https://aclanthology.org/2022.lt4hala-1.1
%P 1-9
Markdown (Informal)
[Identifying Cleartext in Historical Ciphers](https://aclanthology.org/2022.lt4hala-1.1) (Gambardella et al., LT4HALA 2022)
ACL
- Maria-Elena Gambardella, Beata Megyesi, and Eva Pettersson. 2022. Identifying Cleartext in Historical Ciphers. In Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages, pages 1–9, Marseille, France. European Language Resources Association.