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Digi-workshop. Transkribus: getting started. The basics (video)

<p>Creating transcriptions can be a tedious job. The computer tool Transkribus can ease the process after some training. In this digital workshop, the basics of the program will be demonstrated, and some practical examples are going to be given. During this workshop, several features will be discussed: how to get started, what are all the buttons for, how to create TextRegions and Baselines, what is necessary to necessary to create a model. This workshop is organised through a Zoom-meeting; additional questions can be asked through the chat-function. The workshop will be given in English and will be provided by Annemieke Romein, a postdoctoral researcher at HuygensING and experienced Transkribus-user.</p> <p>Date: April 21st, 2020; 1-4pm CEST. Location: online.</p> <p>Location online: https://youtu.be/5YCfaFNMol4&nbsp;</p> <p>Slides:&nbsp;https://doi.org/10.5281/zenodo.3759787</p> <p>&nbsp;</p> <p>Intro to the webinar&nbsp;00:00-05:52</p> <p>Theory OCR and HTR&nbsp;05:53-28:33</p> <p>How to get started: registration and installation.&nbsp;28:34-33:42</p> <p>How to upload files?&nbsp;33:43-41:06</p> <p>How does the desktop-version work?&nbsp;41:07-46:04</p> <p>What are all the buttons in Transkribus?&nbsp;46:05-52:28</p> <p>How to perform a Lay-Out Analysis (manual and automatically)&nbsp;52:29-1:11:04</p> <p>How and where to transcribe?&nbsp;1:11:05-1:16:18</p> <p>How to collaborate within Transkribus?&nbsp;1:16:19-1:24:28</p> <p>What to do with abbreviations, Italics and conventions?&nbsp;1:24:29-1:31:52</p> <p>How to apply OCR or a HTR-model?&nbsp;1:31:53-1:45:43</p> <p>How to create a model?&nbsp;1:45:44-1:58:28</p> <p>How to export from Transkribus?&nbsp;1:58:29-2:2:01:03</p> <p>How to do full-text-searches or keyword spotting?&nbsp;2:2:01:04-2:05:08</p> <p>What is the READ-COOP? By Johanna Walcher&nbsp;2:05:11-2:20:00</p> <p>Questions and Answers&nbsp;2:20:00-end</p> <p>&nbsp;</p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0

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