Results 11 to 20 of about 7,489 (214)

Automatic Dating of Medieval Charters from Denmark [PDF]

open access: yesDigital Humanities in the Nordic and Baltic Countries Publications, 2019
Dating of medieval text sources is a central task common to the field of manuscript studies. It is a difficult process requiring expert philological and historical knowledge.
Sidsel Boldsen, Patrizia Paggio
doaj   +3 more sources

Chrétien de Troyes sur le Web: présentation, analyse et interprétation des manuscrits d’Yvain ou le Chevalier au Lion [2000, rptd. 2008] [PDF]

open access: yesDigital Studies, 2000
On the web site of the Laboratoire de Français Ancien at the University of Ottawa we intend to offer free access to a query and research tool, both powerful and new, for use on Chrétien de Troyes’ masterpiece the Chevalier au Lion, Chrétien being the ...
Rob Kling
doaj   +2 more sources

Handwritten Text Recognition of Ukrainian Manuscripts in the 21st Century: Possibilities, Challenges, and the Future of the First Generic AI-based Model [PDF]

open access: yesKyiv-Mohyla Humanities Journal
This article reports on developing and evaluating a generic Handwritten Text Recognition (HTR) model created for the automatic computer-assisted transcription of Ukrainian handwriting publicly available via the HTR platform Transkribus.
Aleksej Tikhonov, Achim Rabus
doaj   +3 more sources

Transcription of Historical Encrypted Manuscripts : Evaluation of an automatic interactive transcription tool. [PDF]

open access: yes, 2019
Countless of historical sources are saved in national libraries and archives all over the world and contain important information about our history. Some of these sources are encrypted to prevent people from reading it. This thesis examines a semi-automated Interactive transcription Tool based on unsupervised learning without any labelled training data
Johansson, Kajsa
openaire   +2 more sources

Tikkoun Sofrim: Making Ancient Manuscripts Digitally Accessible: The Case of Midrash Tanhuma [PDF]

open access: yes, 2022
International audienceMaking ancient handwritten manuscripts accessible to the general public is challenging, for several reasons. Foremost, they are handwritten.
Wecker, Alan   +9 more
core   +1 more source

Semantic annotation in collaborative document transcription: a gamified citizen science approach [PDF]

open access: yes, 2023
Human or manual transcription is the task in which a person reads a handwritten document and writes in a digital environment the text they are reading. The manual transcription task is a long and timeconsuming process for one person.
Bracco, Christian Ezequiel   +2 more
core   +1 more source

End-to-End Transcript Alignment of 17th Century Manuscripts: The Case of Moccia Code [PDF]

open access: yes, 2023
The growth of digital libraries has yielded a large number of handwritten historical documents in the form of images, often accompanied by a digital transcription of the content. The ability to track the position of the words of the digital transcription
De Gregorio G., Marcelli A., Capriolo G.
core   +3 more sources

Towards a Generic Unsupervised Method for Transcription of Encoded Manuscripts [PDF]

open access: yes, 2019
Historical ciphers, a special type of manuscripts, contain encrypted information, important for the interpretation of our history. The first step towards decipherment is to transcribe the images, either manually or by automatic image processing ...
Baró, Arnau,   +3 more
core   +1 more source

Robot s umelou inteligenciou sprístupňuje písomné dedičstvo [PDF]

open access: yes, 2022
Príspevok v zborníku Knižnice 2022 – Priestor pre všetkých z celoslovenskej konferencie konanej 4. – 5. októbra 2022 v Liptovskom JáneAPVV–19–NEWPROJECT–17816 (2020–2024) Inovatívne sprístupnenie písomného dedičstva Slovenska prostredníctvom systému ...
Katuščák, Dušan
core   +1 more source

Ground-truth Free Evaluation of HTR on Old French and Latin Medieval Literary Manuscripts [PDF]

open access: yes, 2022
International audienceAs more and more projects openly release ground truth for handwritten text recognition (HTR), we expect the quality of automatic transcription to improve on unseen data.
Clérice, Thibault
core   +2 more sources

Home - About - Disclaimer - Privacy