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- W2896510270 abstract "European libraries and archives are filled with enciphered manuscripts from the early modern period. These include military and diplomatic correspondence, records of secret societies, private letters, and so on. Although they are enciphered with classical cryptographic algorithms, their contents are unavailable to working historians. We therefore attack the problem of automatically converting cipher manuscript images into plaintext. We develop unsupervised models for character segmentation, character-image clustering, and decipherment of cluster sequences. We experiment with both pipelined and joint models, and we give empirical results for multiple ciphers." @default.
- W2896510270 created "2018-10-26" @default.
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- W2896510270 date "2018-10-09" @default.
- W2896510270 modified "2023-10-05" @default.
- W2896510270 title "Decipherment of Historical Manuscript Images" @default.
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- W2896510270 doi "https://doi.org/10.48550/arxiv.1810.04297" @default.
- W2896510270 hasPublicationYear "2018" @default.
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