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Optical Character Recognition of 19th Century Classical Commentaries:
  the Current State of Affairs

Optical Character Recognition of 19th Century Classical Commentaries: the Current State of Affairs

13 October 2021
Matteo Romanello
Sven Najem-Meyer
Bruce Robertson
ArXiv (abs)PDFHTML

Papers citing "Optical Character Recognition of 19th Century Classical Commentaries: the Current State of Affairs"

5 / 5 papers shown
CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition
CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition
Sina J. Semnani
Han Zhang
Xinyan He
Merve Tekgürler
Monica S. Lam
3DV
136
0
0
24 Sep 2025
CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language Models
CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language Models
Jonathan Bourne
347
6
0
30 Aug 2024
Making Old Kurdish Publications Processable by Augmenting Available
  Optical Character Recognition Engines
Making Old Kurdish Publications Processable by Augmenting Available Optical Character Recognition Engines
Blnd Yaseen
Hossein Hassani
135
1
0
09 Apr 2024
Yes but.. Can ChatGPT Identify Entities in Historical Documents?
Yes but.. Can ChatGPT Identify Entities in Historical Documents?ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2023
Carlos-Emiliano González-Gallardo
Emanuela Boros
Nancy Girdhar
Ahmed Hamdi
Jose G. Moreno
Antoine Doucet
149
23
0
30 Mar 2023
Named Entity Recognition and Classification on Historical Documents: A
  Survey
Named Entity Recognition and Classification on Historical Documents: A SurveyACM Computing Surveys (CSUR), 2021
Maud Ehrmann
Ahmed Hamdi
Elvys Linhares Pontes
Matteo Romanello
A. Doucet
231
156
0
23 Sep 2021
1