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

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dc.contributor.authorSpina, Salvatoreen_US
dc.contributor.editorCampana, Stefanoen_US
dc.contributor.editorFerdani, Danieleen_US
dc.contributor.editorGraf, Holgeren_US
dc.contributor.editorGuidi, Gabrieleen_US
dc.contributor.editorHegarty, Zackaryen_US
dc.contributor.editorPescarin, Sofiaen_US
dc.contributor.editorRemondino, Fabioen_US
dc.date.accessioned2025-09-05T21:48:52Z
dc.date.available2025-09-05T21:48:52Z
dc.date.issued2025
dc.description.abstractData, 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.en_US
dc.description.sectionheadersWorkshops
dc.description.seriesinformationDigital Heritage
dc.identifier.doi10.2312/dh.20253018
dc.identifier.isbn978-3-03868-277-6
dc.identifier.pages3 pages
dc.identifier.urihttps://doi.org/10.2312/dh.20253018
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/dh20253018
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleTranskribus, ChatGPT and EVT. From manuscripts to Digital Twins Workshopen_US
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