Results 71 to 80 of about 42,098,161 (146)

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

Digital Barriers Still Hindering the Retrieval and Analysis of Historical Dark Data in Phenology

Data
To deepen our understanding of human–ecosystem interactions, researchers need to be able to retrieve and analyze historical dark data such as plant and animal phenology, but there are often barriers to doing so.
Nagai Shin, Taku M. Saitoh, Chifuyu Katsumata   +2 more
doaj   +1 more source

The Future is already here: Navigating the New Frontiers of Digital Scholarly Editing in an Age of HTR and AI

Philologia Hispalensis
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
doaj   +1 more source

Digital nærlesing og kunnskapsproduksjon i digitale transkriberingsprosesser

Tidsskrift for Kulturforskning
The literature concerning the role of close reading is somewhat inadequate when it comes to its application on cultural history material. This article examines the role of close reading in the process of creating digital transcriptions from handwritten ...
Therese Foldvik
doaj   +1 more source

From Manuscript to Metadata: experiments on Handwritten Text Recognition, Tagging and Importation for the Memoriali series (1265-1452)

JLIS.it
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, Fabiana Guernaccini, Manuel Carassai   +2 more
doaj   +1 more source

Formulasi Fitur Visual Manuskrip Arab Pegon Sunda untuk Pengembangan Sistem Handwritten Text Recognition (HTR) Berbasis Artificial Intelligence (AI)

Manuskripta
This study examines the Sundanese Arab Pegon manuscript Wawacan Abdul Muluk through a philological approach to formulate a conceptual visual feature taxonomy framework as a foundational step for developing Artificial Intelligence (AI)-based Handwritten Text Recognition (HTR). The philological approach is employed to identify the manuscript’s condition,
Indra Sopian, Muhammad Sigit Pramudya, Asep Achmad Hidayat, Dedi Supriadi, Zulmi Ramdani   +4 more
openaire   +1 more source

AI-ASSISTED PIPELINE FOR SEMI-AUTOMATIC CONSTRUCTION OF HTR CORPORA FROM HISTORICAL DOCUMENTS

Компютерні системи та інформаційні технології
This paper presents an improved software application for the semi-automatic annotation of handwritten words from historical documents using a CRNN deep learning model.
Andrii IVASECHKO, Khrystyna LIPIANINA-HONCHARENKO   +1 more
doaj   +1 more source

The role of the library when computers can read:Critically adopting Handwritten Text Recognition (HTR) technologies to support research

, 2022
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.
openaire   +1 more source

Tecnologías para el reconocimiento de texto manuscrito

Revista de Historiografía
La producción textual de culturas que utilizan escrituras no latinas permanece en gran medida poco estudiada en comparación con la tradición latina. Es justo decir que más de la mitad de los textos n comparación con la tradición latina.
Carmen García Bueno, Jan Thiele
doaj   +1 more source

Language technology for handwritten text recognition

, 2012
This paper shows how the nowadays prevalent technology used in HTR borrows concepts and methods from the field of ASR; i.e. those based on Hidden Markov Models (HMMs).
Toselli, Alejandro Héctor, Ihab Khoury, Enrique Vidal, Juan, Alfons, Serrano Martínez-Santos, Nicolás, Vidal, Enrique, Khoury, Ihab, Alejandro H. Toselli, Alfons Juan, Nicolás Serrano, Adrià Giménez-Pastor, Giménez Pastor, Adrián   +11 more
core   +1 more source