With image-to-text character recognition now possible, this paper presents a speculative design of handwritten text recognition (HTR): asking what impact it may have on the historical method in the near-future? Through this speculative approach, we present a minimal design for the development of HTR, using evidence collected from a grounded theory study
International audienceIn the Humanities, the emergence of digital methods has opened up research que...
This paper shows how the nowadays prevalent technology used in HTR borrows concepts and methods from...
In the Humanities, the emergence of digital methods has opened up research questions to quantitative...
Handwritten Text Recognition (HTR) technology is now a mature machine learning tool, becoming integr...
Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript ...
Purpose: An overview of the current use of handwritten text recognition (HTR) on archival manuscript...
Purpose: An overview of the current use of handwritten text recognition (HTR) on archival manuscript...
This paper contributes to the assessment of various – possibly impacting – factors during the collec...
This paper uses the Transkribus platform as a case study, focusing on the development, application ...
Existing text recognition engines enables to train general models to recognize not only one specific...
""© Owner/Author 2014. This is the author's version of the work. It is posted here for your personal...
International audienceTransformer-based architectures show excellent results on the task of handwrit...
This paper discusses best practices for sharing and reusing Ground Truth in Handwritten Text Recogni...
In the Humanities, the emergence of digital methods has opened up research questions to quantitative...
In the Humanities, the emergence of digital methods has opened up research questions to quantitative...
International audienceIn the Humanities, the emergence of digital methods has opened up research que...
This paper shows how the nowadays prevalent technology used in HTR borrows concepts and methods from...
In the Humanities, the emergence of digital methods has opened up research questions to quantitative...
Handwritten Text Recognition (HTR) technology is now a mature machine learning tool, becoming integr...
Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript ...
Purpose: An overview of the current use of handwritten text recognition (HTR) on archival manuscript...
Purpose: An overview of the current use of handwritten text recognition (HTR) on archival manuscript...
This paper contributes to the assessment of various – possibly impacting – factors during the collec...
This paper uses the Transkribus platform as a case study, focusing on the development, application ...
Existing text recognition engines enables to train general models to recognize not only one specific...
""© Owner/Author 2014. This is the author's version of the work. It is posted here for your personal...
International audienceTransformer-based architectures show excellent results on the task of handwrit...
This paper discusses best practices for sharing and reusing Ground Truth in Handwritten Text Recogni...
In the Humanities, the emergence of digital methods has opened up research questions to quantitative...
In the Humanities, the emergence of digital methods has opened up research questions to quantitative...
International audienceIn the Humanities, the emergence of digital methods has opened up research que...
This paper shows how the nowadays prevalent technology used in HTR borrows concepts and methods from...
In the Humanities, the emergence of digital methods has opened up research questions to quantitative...