Unlocking Swedish historical material through OCR and HTR

Lühendatud kirje lehekülg
dc.contributor.authorDannélls, Dana
dc.contributor.authorKurtz, Robin
dc.contributor.authorLenas, Erik
dc.contributor.authorLöfgren, Viktoria
dc.contributor.editorBouma, Gerlof
dc.contributor.editorDannélls, Dana
dc.contributor.editorKokkinakis, Dimitrios
dc.contributor.editorVolodina, Elena
dc.date.accessioned2025-11-10T12:21:28Z
dc.date.available2025-11-10T12:21:28Z
dc.date.issued2025-11
dc.description.abstractThis chapter presents some of the efforts made by three national institutions and the challenges each institution encountered while advancing Optical Character Recognition (OCR) and Handwritten Text Recognition (HTR) technologies for Swedish historical material. It introduces the resources, models, and tools that can be used to refine computational approaches for improving OCR and HTR processing, which, in turn, could enhance text- and data-driven research.
dc.identifier.isbn9789908536125
dc.identifier.urihttps://hdl.handle.net/10062/117351
dc.identifier.urihttps://doi.org/10.58009/aere-perennius0181
dc.language.isoen
dc.publisherUniversity of Tartu Library
dc.relation.ispartofHuminfra handbook: Empowering digital and experimental humanities
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleUnlocking Swedish historical material through OCR and HTR
dc.typeArticle

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Huminfra handbook: Empowering digital and experimental humanities