Results 41 to 50 of about 134 (124)

The Digital Revolution in Slavic Manuscript Studies: HTR Technology and its Impact on Philological Research

Studi Slavistici
The paper highlights the recent advances of computer-assisted manuscript transcription using Handwritten Text Recognition (HTR) programs such as Transkribus.
Achim Rabus, Martin Meindl
doaj   +1 more source

Sharing Data for Handwritten Text Recognition (HTR)

Handwritten Text Recognition (HTR) is at present perhaps the principal application of Artificial Intelligence to the Digital Humanities. It falls under the category of supervised machine learning, and this in turn depends almost entirely on the data that is used for training.
Stokes, Peter, Kiessling, Benjamin
openaire   +2 more sources

Handwritten Text Recognition in Medieval Germanic Manuscripts: The Peterborough Chronicle as a Case Study

Filologia Germanica
Over the past few decades, the mass digitisation of repositories has called for urgent development of computational methods to yield access to their contents.
Elisabetta Magnanti
doaj   +1 more source

Transcribing Medieval Manuscripts for Machine Learning [PDF]

Journal of Data Mining and Digital Humanities
This article focuses on the transcription of medieval manuscripts. Whereas problems of transcription have long interested medievalists, few workable options in the era of printed editions were available besides normalisation.
Estelle Guéville, David Joseph Wrisley
doaj   +1 more source

Desbrossant el bosc infinit de les escriptures notarials

Estudis d'Història Agraria
Tot i que les escriptures notarials constitueixen una de les bases de la recerca en història agrària, coneixem poc com s’organitzaven l’activitat notarial i la seva clientela.
Rosa Congost, Ricard Garcia-Orallo, Jordi Regincós, Enric Saguer   +3 more
doaj   +1 more source

GraDeT-HTR: A Resource-Efficient Bengali Handwritten Text Recognition System utilizing Grapheme-based Tokenizer and Decoder-only Transformer

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Despite Bengali being the sixth most spoken language in the world, handwritten text recognition (HTR) systems for Bengali remain severely underdeveloped. The complexity of Bengali script--featuring conjuncts, diacritics, and highly variable handwriting styles--combined with a scarcity of annotated datasets makes this task particularly challenging.
Hasan, Md. Mahmudul, Choudhury, Ahmed Nesar Tahsin, Hasan, Mahmudul, Khan, Md. Mosaddek   +3 more
openaire   +2 more sources

HTR-ConvText: Leveraging Convolution and Textual Information for Handwritten Text Recognition

Handwritten Text Recognition remains challenging due to the limited data, high writing style variance, and scripts with complex diacritics. Existing approaches, though partially address these issues, often struggle to generalize without massive synthetic data.
Truc, Pham Thach Thanh, Nam, Dang Hoai, Khoa, Huynh Tong Dang, Duy, Vo Nguyen Le   +3 more
openaire   +2 more sources

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation

Despite significant advances in deep learning, current Handwritten Text Recognition (HTR) systems struggle with the inherent complexity of historical documents, including diverse writing styles, degraded text quality, and computational efficiency requirements across multiple languages and time periods.
Mohammed Hamdan, Abderrahmane Rahiche, Mohamed Cheriet   +2 more
openaire   +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

Kyiv-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   +1 more source

The Use of Generative Artificial Intelligence in the Digitisation of Printed and Manuscript Documents and Its Contribution to Historical and Archival Education

Pedagogika
Objectives: This study examines how contemporary generative language models can support archival and historical work with Czech handwritten texts, focusing on transcription and basic preliminary analysis, and it outlines key limitations and ethical ...
Klára Rybenská, Sylva Sklenářová
doaj   +7 more sources