Exploring historical sources is vital for understanding our collective past. Recent initiatives have focused on analyzing sources of the same origin in various well-known languages and their historical varieties. This project proposes new approaches to analyzing and deciphering sources with non-standard, rare or unknown writing systems through automated analysis. Faced with the challenge of interpreting these invaluable yet enigmatic texts, our research combines advanced computational linguistics and artificial intelligence techniques. The primary aim is to develop novel methods and tools that can identify, transcribe, and interpret texts from these sources, offering new insights into forgotten languages and cultures.

Key objectives include creating a digital corpus of writings, developing recognition models for alphabets, layout, and scripts, and constructing an interpretative framework for linguistic analysis including decipherment. This interdisciplinary effort unites cross-disciplinary expertise from computational linguistics, computer science, image processing, cryptology, linguistics, philology, and history, paving the way for a new understanding of unknown writings. The expected outcome is a robust, scalable tool to assist historians, linguists, and researchers in unlocking the secrets in these historical documents. We anticipate significant advancements in philological studies, contributing to the preservation and interpretation of cultural heritage across the globe.