

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
Kathryn Kelley
Stockholm and Uppsala University
Sweden
George Lasry
CrypTool Project
Israel/Germany
Boglárka Párdi
ELTE University
Hungary
Wout Sinnaeve
University of Oslo
Norway
Crina Tudor
Stockholm University
Sweden
Oreen Yousuf
Uppsala University
Sweden
| Adelaida López, Spain | Marino Oliveros-Blanco, Spain | Cosimo Palma, Italy | Alejandra Reinares, Spain |
| Diego Valladares, Sweden |
Would you like to contribute? Get in touch to discuss opportunities for collaboration!


2026
2025

2026
2025
Thesis