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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Network

READ addresses archives and libraries, humanities scholars, family historians, volunteers - and computer scientists

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Research

Research in READ comprises exciting fields such as Artificial Intelligence, Pattern Recognition, Machine Learning and Natural Language Processing.

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Services

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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Recent Posts

+ Conference at Archives Nationales

University College London presented at a conference at the Archives Nationales in Paris on 16 March 2016.

Researchers from France, the UK and Ireland came together to share ideas on using crowdsourcing for collaborative transcription and digital scholarly editing.  Louise Seaward gave an introduction to the READ project and explained how handwritten text recognition is being used by volunteers working on UCL’s Transcribe Bentham initiative.