Sirvi Autor "Gregorio, Giuseppe De" järgi

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Learning to Decipher from Pixels—A Case Study of Copiale
(Tartu University Library, 2026-06-22) Kang, Lei; Gregorio, Giuseppe De; Heil, Raphaela; Fornés, Alicia; Megyesi, Beáta; Desenclos, Camille; Pierrot, Cécile
Historical encrypted manuscripts require both paleographic interpretation of cipher symbols and cryptanalytic recovery of plaintext. Most existing computational workflows rely on a transcription-first paradigm, in which handwritten symbols are transcribed prior to decipherment. This intermediate step is labor-intensive, error-prone, and not always aligned with the goal of direct plaintext recovery. We propose an end-to-end, transcription-free approach that directly maps handwritten cipher images to plaintext. Using the Copiale cipher as a case study, we introduce the first text-line-level dataset pairing cipher images with German plaintext. We show that pretraining on generic handwriting data followed by cipher-specific fine-tuning substantially improves decipherment accuracy. Our results demonstrate that transcription-free image-to- plaintext decipherment is both feasible and effective for historical substitution ciphers, offering a simplified and scalable alternative to traditional pipelines.