Results 31 to 40 of about 42,098,161 (146)

Towards the Corpus of Latvian Romani Texts

open access: yesDigital Humanities in the Nordic and Baltic Countries Publications, 2022
Latvian Romani is a Northeastern Romani dialect with a limited number of publicly available sources. Two large archival collections of texts in Latvian Romani, compiled primarily in the 1930s in Latvia and Estonia, have been recently digitized as ...
Natalia Perkova, Kirill Kozhanov
doaj   +1 more source

State of the Field: Digital History

open access: yesHistory, Volume 105, Issue 365, Page 291-312, April 2020., 2020
Abstract Computing and the use of digital sources and resources is an everyday and essential practice in current academic scholarship. The present article gives a concise overview of approaches and methods within digital historical scholarship, focusing on the question ‘How have the digital humanities evolved and what has that evolution brought to ...
C. ANNEMIEKE ROMEIN   +8 more
wiley   +1 more source

General Models for Handwritten Text Recognition: Feasibility and State-of-the Art. German Kurrent as an Example

open access: yesJournal of Open Humanities Data, 2021
Existing text recognition engines enables to train general models to recognize not only one specific hand but a multitude of historical hands within a particular script, and from a rather large time period (more than 100 years).
Tobias Hodel   +3 more
doaj   +1 more source

Generic HTR Models for Medieval Manuscripts. The CREMMALab Project [PDF]

open access: yesJournal of Data Mining and Digital Humanities, 2023
In the Humanities, the emergence of digital methods has opened up research questions to quantitative analysis. This is why HTR technology is increasingly involved in humanities research projects following precursors such as the Himanis project.
Ariane Pinche
doaj   +1 more source

Szerzőazonosítás Jacob és Wilhelm Grimm zajos, digitalizált levelezésében

open access: yesDigitális Bölcsészet, 2021
Az alábbi cikk egy multidiszciplináris projekt eredményeit mutatja be, amely a különböző digitalizációs stratégiák számítógépes szöveganalízisben való használhatóságát járja körül.
Greta Franzini   +7 more
doaj   +1 more source

HDSR-Flor: A Robust End-to-End System to Solve the Handwritten Digit String Recognition Problem in Real Complex Scenarios

open access: yesIEEE Access, 2020
Automatic handwriting recognition systems are of interest for academic research fields and for commercial applications. Recent advances in deep learning techniques have shown dramatic improvement in relation to classic computer vision problems ...
Arthur Flor De Sousa Neto   +3 more
doaj   +1 more source

La reconnaissance automatique d'écriture à l'épreuve des langues peu dotées

open access: yesThe Programming Historian en Français, 2023
Ce tutoriel a pour but de décrire les bonnes pratiques pour la création d’ensembles de données et la spécialisation des modèles en fonction d’un projet HTR (Handwritten Text Recognition) ou OCR (Optical Character Recognition) sur des documents qui n ...
Chahan Vidal-Gorène
doaj   +1 more source

Handwritten Text Recognition (HTR) for Irish-Language Folklore [PDF]

open access: yes, 2022
In this paper we present our method for digitising a large collection of handwritten Irish-language texts as part of a project to mine information from a large corpus of Irish and Scottish Gaelic folktales.
Ó Raghallaigh, Brian   +2 more
openaire   +2 more sources

Evaluating State-of-the-Art Handwritten Text Recognition (HTR) Engines; with Large Language Models (LLMs) for Historical Document Digitisation

open access: yes, 2023
Handwritten Text Recognition engines play a pivotal role in transforming historical handwritten documents into machine‐readable formats, facilitating efficient access and analysis of invaluable information. We present a comprehensive evaluation of cutting‐edge Handwritten Text Recognition engines, including PyLaia, IDA, and TrOCR.
Leifert, Gundram   +5 more
openaire   +2 more sources

Boosting Offline Handwritten Text Recognition in Historical Documents With Few Labeled Lines

open access: yesIEEE Access, 2021
In this paper we address the problem of offline handwritten text recognition (HTR) in historical documents when few labeled samples are available and some of them contain errors in the train set. Our three main contributions are: first, we analyze how to
Jose Carlos Aradillas   +2 more
doaj   +1 more source

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