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All you need is a TEI Publisher 7 instance which has a matching ODD installed. The HTML preview feature has been ported as well: pressing a keyboard shortcut or clicking the toolbar icon will present you with a list of ODDs available for transformations, and then open a new editor panel showing the transformation result in HTML. For example, you could replace with if you like. The TEI snippet to be inserted for each of the entity types can be configured in the settings. Beyond the Karl Barth Gesamtausgabe, we now have connectors for the German GND, metagrid, Geonames and Google places. Thrilled by the success, we invested two more days to make the plugin more generic, in particular, add connectors for other authority databases. It turned out to be rather straightforward and the first usable version was done within one evening.
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Thus the question arised if the Word plugin could be ported to an XML editor.įor sure, oXygen would have been the obvious choice, but since the Word Plugin was already written in javascript/typescript, we decided to give Visual Studio Code a try.
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Parts of this is done automatically (via entity detection), but there’s still a lot of manual editing involved. However, the Word-workflow only covers the new volumes: we still have 54 already published volumes in TEI, which need to be extended. Editors can thus see the text as it would later appear on the website. The preview feature sends the underlying Word XML to a TEI Publisher instance, which transforms it first to TEI, and then – if requested – to HTML. The plugin also allows editors to get a preview of how the current text would look like in TEI and how it would be rendered to HTML by TEI Publisher’s ODD-based transformations. A screenshot of the Word plugin is shown below: This proved to be a huge timesaver: what took minutes before – switching to a different window, doing a search and copying the ID – is now done in seconds. With another click, the selected entity is inserted into the Word document, including a reference to the entity in the database. To simplify semantic encoding, eXist Solutions created a Word plugin for the project, which allows editors to easily encode entities occurring within the text: select a string representing an entity, click a button and the plugin will run a query against the database of the Karl Barth Gesamtausgabe, showing potential matches for each possible category. Within the Karl Barth edition, texts to be published in new volumes are encoded in Microsoft Word and transformed to TEI using TEI Publisher’s powerful docx2TEI conversion feature based on the TEI processing model. For the Karl Barth edition project, we have thus created a new extension for Visual Studio Code (vscode) and published it as Open Source. encode places, people or terms, can be a time consuming and tedious task. Enhancing TEI documents with semantic markup, i.e.