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

+ First meeting of Dutch Transkribus network

On 4 April 2019 Transkribus users from the Netherlands and Belgium gathered under cloudy skies in The Hague to discuss the possibility of forming a network to improve the automated recognition of Dutch language documents.

The event was kindly hosted by Liesbeth Keijser and her team at Nationaal Archief.

The event attracted 45 people from more than 15 institutions including Nationaal Archief, Huygens ING, Koninklijke Bibliotheek, Stadsarchief Amsterdam, Europeana, International Institute of Social History, Ghent University, Het Utrechts Archief, Stadsarchief Antwerpen, Noord-Hollands Archief and Picturae.

There are many active Transkribus users in the Dutch-speaking regions and The Netherlands in particular is advanced in the realms of digitisation, technological innovation and digital humanities. This event was designed to allow users to share information about their work with Transkribus and forge collaboration on a generic ‘Dutch model’ capable of recognising a sizeable variety of Dutch language documents.

We were welcomed with an introduction from Marens Engelhard, Director of Nationaal Archief.

The event moved on with a presentation about the vision for  a Dutch network from Günter Mühlberger, coordinator of the READ project.

Günter explained that the launch of READ-COOP in the summer of 2019 will provide sustainability for Transkribus after the end of the READ project. He also offered a sneak peak of some forthcoming features in the platform including:

  • Advanced error rate tool to assess the accuracy of individual pages of automatically generated text
  • Trainable Layout Analysis capable of recognising page features like dates and marginalia
  • Improved interface for HTR model training, which makes it easier to mix different models together

We then heard from four sets of Transkribus users about the HTR models they had created and their experiences with the platform:

Liesbeth Keijser (Nationaal Archief) presenting

The afternoon was dedicated to discussion about necessary milestones and next steps. Participants discussed the challenge of recognising Dutch material, possible avenues for exchanging data and the desirability of an individual coordinator to play a leading role in the network.

The idea of a Dutch language Transkribus network was enthusiastically received and the event concluded with suggestions of funding avenues to investigate and a proposal for twice-yearly meetings be held at different venues. There is huge potential here to work collaboratively to significantly improve the recognition of Dutch language material and we look forward to seeing what develops!

+ Searching more than 100 years of mountaineering history with Transkribus

We are proud to be part of a successful project carried out by the New Zealand Alpine Club and the University of Innsbruck (Linguistic Institute). The complete workflow was done within Transkribus: apart from uploading files and running the text recognition volunteers used the web-based transcription interface from Transkribus to carefully correct all 17,500 pages of the New Zealand Alpine Journal.

In order to make the journal also searchable, Transkribus team members developed a simple but effective web-application, which enables users to browse all issues and to search the full-text of the complete journal. The application runs also very well on a smartphone. All data is hosted by Transkribus.

The project received its funding via the crowd-funding-platform Give a little. People donated about 6 000 NZD, which is a great support.

Check out the web-application for searching the journal editions here.

 

Foto credit: https://www.nzaj-archive.nz/