FoNDUE - A Lightweight HTR Infrastructure for Geneva
Par Simon Gabay (université de Genève), Pierre Kuenzli (université de Genève) et Jean-Luc Falcone (université de Genève).
Recognising text on an image is becoming increasingly important for scholars working with textual sources. Because institutions have to address the needs of their members, the University of Geneva has decided to offer a free of charge and user-friendly solution based on eScriptorium. The specificity of our instance is that it relies only on local infrastructures to minimise its cost and offer additional services, such as training models directly with command lines. Therefore, it promotes a double empowerment: the one of the institution, that does not depend on external private solutions, but also the one of scholars, who gain new digital skills. On top of a theoretical reflexion on this empowerment, we propose a first feedback on how to deploy an efficient HPC-based instance of eScriptorium.
Partager sur les réseaux sociaux
À découvrir
Découvrez d'autres productions de l'École sur les mêmes thématiques.
Humanités numériques
Les registres médiévaux de Notre Dame : une archive numérique ouverte de la vie du chapitre
Publication de chercheur
Detecting Sexual Content at the Sentence Level in First Millennium Latin Texts
Publication de chercheur
