Between automatic and manual encoding Towards a generic TEI model for historical prints and manuscripts
Year: 2022
Type: conference-paper
Abstract: Cultural heritage institutions today aim to digitise their collections of prints and manuscripts (Bermès 2020) and are generating more and more digital images (Gray 2009). To enrich these images, many institutions work with standardised formats such as IIIF, preserving as much of the source’s information as possible. To take full advantage of textual documents, an image alone is not enough. Thanks to automatic text recognition technology, it is now possible to extract images’ content on a large scale. The TEI seems to provide the perfect format to capture both an image’s formal and textual data (Janès et al. 2021). However, this poses a problem. To ensure compatibility with a range of use cases, TEI XML files must guarantee IIIF or RDF exports and therefore must be based on strict data structures that can be automated. But a rigid structure contradicts the basic principles of philology, which require maximum flexibility to cope with various situations. The solution proposed by the Gallic(orpor)a project1 attempted to deal with such a contradiction, focusing on French historical documents produced between the 15th and the 18th c. It aims to enrich the digital facsimiles distributed by the French National Library (BnF).
Institutions: Maison des Sciences sociales et des Humanités - Lyon St-Étienne, École Nationale des Chartes, Histoire, Archéologie, Littératures des Mondes Chrétiens et Musulmans Médiévaux, Institut national de recherche en sciences et technologies du numérique, ALMANACH: Modélisation et analyse linguistique automatique et humanités computationnelles, University of Geneva, University of Neuchâtel
Language: English
Subfield: Literature and Literary Theory
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W4296396256