Transkribus, ChatGPT and EVT. From manuscripts to Digital Twins Workshop

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dh20253018.pdf (404.5 KB)
Date
2025
Authors
Spina, Salvatore
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Data, Big Data, Textual Analysis, and the Semantic Web are among the core concepts underpinning the digital turn. Everything becomes processable, and most objects are increasingly ''virtualized,'' shifting our experience of them away from their physical dimension. Words are transformed into data-entities, comparable to ''second-order abstractions'' (i.e., numbers) (Frege 2023; 1980), and as such they can be analyzed through algorithms capable of enhancing our knowledge. While this is certainly applicable to printed texts (which can be converted into machinereadable digital texts via OCR) and to ''born-digital'' content, the scenario changes when we consider the vast archival heritage composed of handwritten documents from various historical periods, characterized by highly diverse linguistic structures and forms of language-texts which currently resist large-scale computational analysis.
Description

        
@inproceedings{
10.2312:dh.20253018
,
booktitle = {
Digital Heritage
},
editor = {
Campana, Stefano
 and 
Ferdani, Daniele
 and 
Graf, Holger
 and 
Guidi, Gabriele
 and 
Hegarty, Zackary
 and 
Pescarin, Sofia
 and 
Remondino, Fabio
},
title = {{
Transkribus, ChatGPT and EVT. From manuscripts to Digital Twins Workshop
}},
author = {
Spina, Salvatore
},
year = {
2025
},
publisher = {
The Eurographics Association
},
ISBN = {
978-3-03868-277-6
},
DOI = {
10.2312/dh.20253018
}
}
Citation
URI
https://doi.org/10.2312/dh.20253018
 https://diglib.eg.org/handle/10.2312/dh20253018
Collections
Track: Posters, Panels, Roundtables, Workshops, Tutorials