Transkribus
Transkribus is a platform for the text recognition, image analysis and structure recognition of historical documents.
The platform was created in the context of the two EU projects "tranScriptorium" (2013–2015)[1] and "READ" (Recognition and Enrichment of Archival Documents – 2016–2019).[2] It was developed by the University of Innsbruck. Since July 1, 2019 the platform has been directed and further developed by the READ-COOP.[3]
The platform integrates tools developed by research groups throughout Europe, including the Pattern Recognition and Human Language Technology (PRHLT) group of the Technical University of Valencia and the Computational Intelligence Technology Lab (CITlab) group of University of Rostock.
Comparable programs that offer similar functions are eScriptorium and OCR4All.[4]
References
[edit]- ^ "TranSkriptorium". transkriptorium.com. Retrieved 24 February 2022.[title missing]
- ^ "tranScriptorium Project Page". cordis.europa.eu. Retrieved 1 February 2020.[title missing]
- ^ "Read-Coop". readcoop.eu. Retrieved 1 February 2020.[title missing]
- ^ "OCR4all | forTEXT". Retrieved 2023-06-20.
Further reading
[edit]- Polomac, Vladimir R. (2022). "Serbian Early Printed Books from Venice: Creating Models for Automatic Text Recognition using Transkribus". Scripta & e-Script. 22: 11–29.
External links
[edit]- Official website
- READ-COOP
- Deutschsprachige Benutzeranleitung für die Transkribus-Plattform
- Github Repository
- Marc Rothballer: Transkribus – Erfahrungsbericht zu maschinellem Lernen und Handwritten Text Recognition in der Heimat- und Familienforschung, Besprechung der Software vom 26. Juni 2020 im Archivalia-Blog