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Automatic Text Recognition (ATR) - Step 6: End formats and Reusability

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This concluding tutorial of our ATR series focuses on integrating open science standards in humanities research. Learn how to apply these principles for transparent and reproducible results, and discover the best formats for exporting and reusing your transcriptions. Ensure your ATR project’s results are accessible and ready for future scholarly use.

Learning Outcome

After completing this resource, learners will be able to:

  • Integrate open science principles into your ATR project to enhance reproducibility and transparency.
  • Select appropriate formats for exporting and sharing transcriptions.
  • Contribute to the scholarly community by making ATR results accessible and reusable.

You can read the blogpost (available in English, French, and German), and watch our video (with subtitles in English, French, and German) embedded in the post.

Interested in learning more?

Check out "Automatic Text Recognition - Step 6: End Formats and Reusability"

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Cite as

Floriane Chiffoleau and Sarah Ondraszek (2024). Automatic Text Recognition (ATR) - Step 6: End formats and Reusability. Version 1.0.0. Edited by Anne Baillot and Mareike König. Deutsches Historisches Institut Paris. [Training module]. https://harmoniseatr.hypotheses.org/439

Reuse conditions

Resources hosted on DARIAH-Campus are subjects to the DARIAH-Campus Training Materials Reuse Charter

Full metadata

Title:
Automatic Text Recognition (ATR) - Step 6: End formats and Reusability
Authors:
Floriane Chiffoleau, Sarah Ondraszek
Domain:
Social Sciences and Humanities
Language:
en
Published:
5/10/2024
Content type:
Training module
Licence:
CCBY 4.0
Sources:
DARIAH
Topics:
Editing tools, Machine Learning, Automatic Text Recognition
Version:
1.0.0