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

+ The READ network expands – into digital scholarly editing

The READ project now has a new partner which will investigate how Transkribus can be used in digital scholarly editing.

The Institute for Documentology and Scholarly Editing (IDE) is the latest institution to join the READ network as a Memorandum of Understanding (MOU) partner.  Based in Germany, the IDE is a network of scholars who research the ways in which digital methods can be applied to historical documents.  The IDE has a rich knowledge of digital editions and produces the RIDE journal to review such resources.

The IDE will be testing out the Transkribus platform and providing feedback on how it can support the creation of digital editions using basic TEI standards.