Call for papers for the special issue: « Historical documents and automatic text recognition ».
Editors : Ariane Pinche and Peter Stokes
Journal of Data Mining and Digital Humanities
With this special issue of the Journal of Data Mining and Digital Humanities (JDMDH), we wish to bring together in one single volume several experiments, projects and reflections related to automatic text recognition on historical documents.
To address these issues, we propose the following three axes:
– Axis 1: Sources, constitution and sharing of training data.
– Axis 2: Machine learning
– Axis 3: Feedback and data exploitation
This special issue aims to provide an overview of the use of HTR or OCR on historical documents, as its uses multiply and more and more research projects and cultural heritage institutions become interested in it. Through the Journal of Data Mining and Digital Humanities, we are delighted to offer an opportunity to all those who wish to make their own contribution to the field or to share their experience by exposing their successes, their questions and their difficulties, or even failure. By publishing this special issue, we hope to present a state of the art of the uses of automatic handwriting recognition today.
Complete description at the following address : .https://jdmdh.episciences.org/page/documents-historiques-et-reconnaissance-automatique-de-textes#
Submission details and deadlines:
- The papers are expected to be between 6 and 8 pages for short paper or between 12 and 15 pages for long papers.
- The articles must present original and previously unpublished work.
- All submissions must be in English
- All the articles submitted are subject to blind peer review in accordance with the journal’s editorial policies.
- Submission deadline: 1 November 2022.