ocr

Real challenge remains in the implementation of accurate and efficient methods for extracting information from historical handwritten tabular records. We propose a human-in-the-loop workflow with benchmarks of open- and closed-source methods for extracting and processing handwritten tabular data.

The past week BlueGreen Labs provided expert input at the Hermes Bring-Your-Own-Data (BYOD) workshop on text recognition and text analysis at the Leibniz-Institute for European History (IEG). The HERMES program provides resources teach topics in humanities education in research, data, and methods. The workshop organized by Prof. Dr. Monika Barget brought together participants from the digital humanities to talk about data workflows, issues they encountered and the role of Machine Learning (ML) and Artificial Intelligence (AI) within this context.