Digitising (Romanian) Cyrillic using Transkribus: new perspectives.
In this paper we discuss the application of the software platform Transkribus (transkribus.eu), an AI-assisted tool for Handwritten Text Recognition (HTR), to 16th century Romanian manuscript and printed sources using Cyrillic scripts. After an overview of the basic functionality of the HTR technolo...
| Publicado en: | Diacronia no. 14; pp. 1 - 10 |
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| Autores principales: | , |
| Formato: | Artículo |
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Revista Diacronia
12/12/2021
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=154378900&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 154378900 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 23931140 JF71 jtl: Diacronia issn: 23931140 maglogo: N pubinfo: dt: 12/12/2021 iid: 14 pid: 2159 pub: Revista Diacronia artinfo: ui: 154378900 10.17684/i14A196en ppf: 1 ppct: 9 formats: fmt: @attributes: type: P size: 6.1MB tig: atl: Digitising (Romanian) Cyrillic using Transkribus: new perspectives. aug: au: Burlacu, Constanța Rabus, Achim affil: Merton College, University of Oxford, Merton St., OX1 4JD Oxford, United Kingdom Department of Slavic Studies, University of Freiburg, Werthmannstr. 14, 79085 Freiburg, Germany su: Text recognition Romanians Application software Sixteenth century sug: subj: Text recognition Romanians Application software Sixteenth century keyword: digital humanities handwritten text recognition Romanian Cyrillic Transkribus ab: In this paper we discuss the application of the software platform Transkribus (transkribus.eu), an AI-assisted tool for Handwritten Text Recognition (HTR), to 16th century Romanian manuscript and printed sources using Cyrillic scripts. After an overview of the basic functionality of the HTR technology and Transkribus, we discuss the Romanian and bilingual Slavonic-Romanian sources we used, give an insight on training specific and generic as well as smart (i.e. transliterating from Cyrillic into Latin script) models, evaluate their performance and discuss implications of HTR for philological research in the Digital Age. We conclude with an outlook on future research perspectives. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Diacronia is the property of Revista Diacronia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Diacronia holder: Revista Diacronia dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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