Automated or Handwritten Text Recognition has been making continuous progress, with new tools, models, and technologies emerging every year. This rapidly evolving field is becoming a "must-have" for many digital endeavors, particularly in the study of historical sources. There are, however, still multiple challenges, e.g., complicated page layouts, lack of models for some languages and scripts, Latin abbreviations, and inconsistencies in the training data. 

For details and registration, visit the Indico event page.

The event is organised by:

• Digital Lab, Institute for Medieval Research (IMAFO), Austrian Academy of Sciences

• Austrian Archaeological Institute (OeAI), Austrian Academy of Sciences

• Faculty of Historical and Cultural Studies at the University of Vienna

Supported by:

• Machine Learning Topical Platform (MLA2S), Austrian Academy of Sciences

Organizing team:

• Jan Odstrčilík, Helmut Reimitz (Institute for Medieval Research (IMAFO), Austrian Academy of Sciences)

• Anna Dolganov (Austrian Archaeological Institute (OeAI), Austrian Academy of Sciences)

• Thomas Wallnig (University of Vienna)

Used images. Top: ÖNB, Cod. 15298 HAN MAG, fol. 3r; SBzB Ms Or fol 248;ÖNB, 1175, 4r; ÖNB, Cod. 387 HAN MAG, fol. 117r; BNB, Pelliot tibétain 999

Bottom: The Walters Art Museum, W.537.2V; ÖNB, Cod. 3891, fol. 1r; CFMM 00567; ÖNB, G 16715 PAP MAG