Skip navigation
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWrisley, David Joseph-
dc.contributor.authorGuéville, Estelle-
dc.contributor.authorKrawczyk, Iwona-
dc.date.accessioned2021-06-17T11:08:56Z-
dc.date.available2021-06-17T11:08:56Z-
dc.date.issued2021-06-13-
dc.identifier.citationGuéville, E., Krawczyk, I., & Wrisley, D. (2021). Automatic Transcription of BnF ms fr 24428 with Transkribus (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4940216en
dc.identifier.urihttp://hdl.handle.net/2451/62239-
dc.description.abstractIn this work, we report on the training of a handwritten text recognition (HTR) model in Transkribus using corrected and normalized crowd transcribed training data from the Image du Monde challenge (8-22 January 2021). Our report is accompanied by data in plain text format.en
dc.language.isoen_USen
dc.publisherZenodoen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.subjectTranskribusen
dc.subjectHandwritten Text Recognitionen
dc.subjectmedieval manuscriptsen
dc.subjectartificial intelligenceen
dc.subjectdigital humanitiesen
dc.titleAutomatic Transcription of BnF ms fr 24428 with Transkribusen
dc.typeDataseten
dc.identifier.DOIhttp://doi.org/10.5281/zenodo.4940216-
Appears in Collections:David Wrisley's Collection

Files in This Item:
File Description SizeFormat 
Automatic Transcription of BnF ms fr 24428 with Transkribus.pdfWriteup and description2.87 MBAdobe PDFView/Open
BNFfr24428_GT_10Jun21.txtoriginal ground truth463.37 kBTextView/Open
BNFfr24428_GT_23Jan21.txtrevised ground truth114.89 kBTextView/Open
BNFfr24428_Omons2_entiretranscript.txtrevised transcription463.37 kBTextView/Open
BNFfr24428_Omons_entiretranscript.txtoriginal transcription469.64 kBTextView/Open


Items in FDA are protected by copyright, with all rights reserved, unless otherwise indicated.