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EHRI in TEITOK

The Institute for Formal and Applied Linguistics (UFAL) put together an experimental interface for the EHRI digital editions, a corpus framework called TEITOK, as an alternative to the current interface in Omeka. Where the current interface of EHRI based is centered around documents, TEITOK is centered around texts. In many aspects, the TEITOK interface for EHRI is similar to the Omeka interface – both allow you to search through the documents, and display the transcription. The main difference is that in Omeka, when you search for a word in the documents, it is not aware where that term appears in the text – the transcription is treated as an object description. Since TEITOK is aware where the words appear, it can not only show that a word appears in a document, but also where it appears and how it is used.

In this document, we will first quickly explain what TEITOK is, and then describe the design of the experimental EHRI interface, as well as how it was created and how the result differs from the Omeka interface of EHRI. The first two parts are unavoidable technical in nature. That is why the last section illustrates the resulting system using some actual examples from the EHRI project.

Learning outcomes

After viewing this training resource, users will be able to:

  • Understand what TEITOK is, how it was created and how the results differs from the Omeka interface
  • Learn about the design of the experimental EHRI interface
Interested in learning more?

Check out EHRI in TEITOK

Go to this resource

Cite as

Maarten Janssen (2021). EHRI in TEITOK. Version 1.0.0. EHRI. [Training module]. https://blog.ehri-project.eu/2021/03/17/ehri-in-teitok/

Reuse conditions

Resources hosted on DARIAH-Campus are subjects to the DARIAH-Campus Training Materials Reuse Charter

Full metadata

Title:
EHRI in TEITOK
Authors:
Maarten Janssen
Domain:
Social Sciences and Humanities
Language:
en
Published to DARIAH-Campus:
11/14/2022
Originally published:
3/17/2021
Content type:
Training module
Licence:
CCBY 4.0
Sources:
EHRI
Topics:
Big data, Data management, Repositories & Collections, Research infrastructures, Metadata
Version:
1.0.0