The open access, peer-reviewed Journal of Data Mining and Digital Humanities (JDMDH) is currently inviting paper submissions for its special issue, “Historical documents and automatic text recognition”.
The special issue will bring together in one single volume several experiments, projects and reflections related to automatic text recognition on historical documents.
Many projects now include automatic text acquisition in their data processing chain. The integration of this technology into increasingly powerful processing chains has led to an automation of tasks that affects the role of the researcher in the textual production process. This new data-intensive practice makes it urgent to collect and harmonise the corpora necessary for the constitution of training sets, but also to make them available for exploitation. This issue will be an opportunity to propose articles combining philological and technical questions to make a scientific assessment of the use of automatic text recognition for ancient documents, its results, its contributions and the new practices induced by its use in the process of editing and exploring texts.
To address these issues, the following three axes are proposed:
- Axis 1: Sources, constitution and sharing of training data.
- Axis 2: Machine learning
- Axis 3: Feedback and data exploitation
- 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- The articles must present original and previously unpublished work.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.