

This project pioneers new methods to analyze historical texts written in rare, non-standard, or undeciphered writing systems. Using cutting-edge techniques from computational linguistics and AI, we aim to develop tools that can automatically identify, transcribe, and interpret these sources.
Our goals include building a digital corpus, creating recognition models for scripts and layouts, and developing frameworks for linguistic analysis and decipherment. This interdisciplinary initiative brings together experts from computer science, computer vision, cryptology, natural language processing, archeology, history and linguistics to advance our understanding of forgotten languages and cultures.

Coming soon:
unknown writings in the
DECODE database

Prof. Beata Megyesi
Project Leader
Stockholm University
Sweden

Alicia Fornés
Computer Vision
Center, UAB,
Spain

Mihály Héder
Computer Research
Institute, HUN-REN
SZTAKI, Hungary

Raphaela Heil
Stockholm
University,
Sweden

Lei Kang
Computer Vision Center,
UAB
Spain

Nils Kopal
Hochschule
Niederrhein
Germany

Benedek Láng
ELTE
University
Hungary

Eva Pettersson
Uppsala
University
Sweden

Rune Rattenborg
Lund
University
Sweden

Michelle Waldispühl
University of
Oslo
Norway
Doris Behrendt
Universität der Bundeswehr,
München, Germany
Micaella Bruton
Stockholm University,
Sweden
Jialuo Chen
Universitat Autònoma de Barcelona,
Spain
Bernhard Esslinger
University of Siegen,
Germany
Richárd Fülöp
ELTE,
Hungary
Giuseppe de Gregorio
,Universitat Autònoma de Barcelona,
Spain
George Lasry
CrypTool Project,
Israel/Germany
Vasily Mikhalev,
University of Siegen,
Germany
Boglárka Párdi
ELTE University,
Hungary
Wout Sinnaeve
University of Oslo,
Norway
Crina Tudor
Stockholm University,
Sweden
Oreen Yousuf
Uppsala University,
Sweden
Would you like to contribute? Get in touch to discuss opportunities for collaboration!



2026
2025
Thesis