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https://readcoop.eu/transkribus/ is a “comprehensive platform for the digitization, AI-powered text recognition, transcription and searching of historical documents – from any place, any time, and in any language.” It’s come up repeatedly at conferences I’ve attended, and I’d like to get some practical knowledge about what it actually does. Could we make use of it, in the next few years, to make projects similar to the Bredig transcription / translation transcribing handwritten documents cheaper and more efficient? I’m proposing to spend a bit of time tinkering with it in order to find out.

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  • Install Transkribus and create an account that I can use

  • Read the docs

  • Become familiar with the Transkribus interface

  • Learn the lingo (and there is a lot of lingo)

  • Get an intuitive sense of what it's really for, and how we might realistically use it

  • Explore the user community any and other helpful online resources

  • Research current use patterns: what are common ways in which people are using the tool to save time and effort.

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I’d like to write up my results here in the wiki; I’m thinking I want to produce a short, non-technical 2-page explanation describingcontaining:

  • a description of what the software is

  • what it is not

  • a glossary of machine-learning technical terms that I’ve encountered, so we all speak the same lingo

  • examples of what peer institutions have done with it

  • how it might come in handy in the future.