Is your OCR good enough? A comprehensive assessment of the impact of OCR quality on downstream tasks
Authors/Creators
- 1. University of Amsterdam
- 2. National Library of the Netherlands
Description
Is an average OCR quality of 70% enough for my study? What OCR quality should we ask from external suppliers? Should we re-do the OCR of our collections to bring it from 80% to 85%? Libraries and researchers alike face the same dilemma in our times of textual abundance: when is OCR quality good enough? User access, scientific results and the investment of limited resources increasingly depend on answering this question.
This project focuses on a comprehensive assessment of the impact of OCR quality in Dutch newspaper, journal and book collections, comparing it with published results for English and French. This is be done via extrinsic evaluation: assessing results from a set of representative downstream tasks, such as text classification or clustering. The ultimate goal of the project is to contribute guidelines detailing when OCR quality is to be considered good enough, in order to inform the development and use of textual collections.
The datasets released here are described in this Wiki page. Please refer to the project's repository for more information.
Files
data_frames_evaluation.zip
Files
(440.4 MB)
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