READ revolutionizes access to handwritten documents
From the Middle Ages to today, from old Greek to modern English, from running text to tables or forms
About
READ's mission is to revolutionize access to archival documents with the support of cutting-edge technology such as Handwritten Text Recognition (HTR) and Keyword Spotting (KWS).
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READ addresses archives and libraries, humanities scholars, family historians, volunteers - and computer scientists
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Research in READ comprises exciting fields such as Artificial Intelligence, Pattern Recognition, Machine Learning and Natural Language Processing.
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READ technology is available via the service platform Transkribus. Upload documents, train a Handwritten Text Recognition (HTR) model, process text and follow the progress of the project.
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+ Transkribus ‘How to’ guides
We are happy to report that new ‘How to’ guides are now available to help those who want to work with Transkribus.
If you visit the Transkribus wiki, you will find the following ‘How to’ papers:
- How to Transcribe Documents with Transkribus – Simple Mode
- How to Transcribe Documents with Transkribus – Advanced Mode
- How to Prepare Test Projects with Transkribus – for Archives and Libraries
We hope you will find these documents useful and we welcome any feedback.
+ Bringing archives and technology together!
The READ project is featured in the latest issue of Insights magazine, which is produced by the ICARUS organisation. ICARUS represents more than 160 archives in over 30 countries.
The coverage explains the aims of the project and also gives a summary of the ‘Technology meets Scholarship’ conference in January 2016, where the READ project held its kick-off meeting.
Our appearance in Insights magazine should help to spread the word about READ! We look forward to developing our relationship with the archival community as our project continues.