Results 51 to 60 of about 134 (124)
El presente trabajo busca ofrecer un estado de la cuestión sobre los recientes desarrollos en el campo de la transcripción automática de impresos antiguos y manuscritos con sistemas de HTR (Handwritten Text Recognition), fijando la atención ...
Stefano Bazzaco
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Reconhecimento automático de manuscritos para o teste de idiomas não latinos
Este tutorial tem como objetivo descrever as boas práticas para a criação de conjuntos de dados e para a especialização dos modelos em função de um projeto HTR (Handwritten Text Recognition – em português, Reconhecimento de Texto Manuscrito) ou OCR ...
Chahan Vidal-Gorène
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This article explores the evolving landscape of digital scholarly editing, focusing especially on the impact for scholarly editing of recent advancements in Artificial Intelligence (AI) and Handwritten Text Recognition (HTR) as a transformative ...
James Cummings
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The paper describes the experiment of creating a tailored tagging system for the Memoriali – a series of notarial records produced in Bologna almost uninterruptedly between the second half of the 13th and first half of the 15th century – using the ...
Edward Loss +2 more
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Computational approaches to processing and searching images of historical manuscripts by Handwritten Text Recognition (HTR) is one of the most promising machine learning approaches for academic research in the humanities, having the potential to transform access to our written past for the use of researchers, institutions, and the general public.
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This paper presents a computational approach for detecting the calligraphic footprint of a scribe in a large documentary corpus. The system leverages advances in HTR (Handwritten Text Recognition) techniques, usually employed for automatic transcription,
Álvaro Cuéllar, Sònia Boadas
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Artificial Intelligence for Historical Manuscripts Digitization: Leveraging the Lexicon of Cyril
Artificial intelligence (AI) is a cutting-edge and revolutionary technology in computer science that has the potential to completely transform a wide range of disciplines, including the social sciences, the arts, and the humanities.
Stavros N. Moutsis +5 more
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Understanding the application of handwritten text recognition technology in heritage contexts: a systematic review of Transkribus in published research. [PDF]
Nockels J, Gooding P, Ames S, Terras M.
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Computer Vision and Robotics for Cultural Heritage: Theory and Applications. [PDF]
Caron G, Bellon ORP, Shimshoni I.
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This thesis considers the socio-technical infrastructure surrounding AI-enabled Handwritten Text Recognition (HTR), the process of converting images of historical textual materials into computer-readable text. Despite sectoral awareness of the technology, institutional approaches still display gaps between conceptualising and operationalising HTR.
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