Tag: Optical Character Recognition

wikipedia_id:92750:de;wikidata_id:Q167555:de

When history meets technology. impresso: an innovative corpus-oriented perspective.

When history meets technology. impresso: an innovative corpus-oriented perspective.

Historical newspapers, already available in many digitized collections, may represent a significant source of information for the reconstruction of events and backgrounds, enabling historians to cast new light on facts and phenomena, as well as to advance new interpretations. Lausanne, University of Zurich and C2DH Luxembourg, the ‘impresso – Media Monitoring of the Past’ project wishes to offer an advanced corpus-oriented answer to the increasing need of accessing and consulting collections of historical digitized newspapers.
[…] Thanks to a suite of computational tools for data extraction, linking and exploration, impresso aims at overcoming the traditional keyword-based approach by means of the application of advanced techniques, from lexical processing to semantically deepened n-grams, from data modelling to interoperability.
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Digital scholarship workflows

Digital scholarship workflows

Introduction:  In this post, you can find a thoughtful and encouraging selection and description of reading, writing and organizing tools. It guides you through a whole discovery-magamement-writing-publishing workflow from the creation of annotated bibliographies in Zotero,  through a useful Markdown syntax cheat sheet  to versioning, storage and backup strategies, and shows how everybody’s research can profit by open digital methods even without sophisticated technological skills. What I particularly like in Tomislav Medak’s approach is that all these tools, practices and tricks are filtered through and tested again his own everyday scholarly routine. It would make perfect sense to create a visualization from this inventory in a similar fashion to these workflows.

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Modernes Tool für alte Texte

Modernes Tool für alte Texte

Introduction: Computer scientists and humanists at the University of Würzburg have jointly developed a new and promising OCR tool to simplify text recognition in historical prints. “OCR4all” is freely available and works very reliably. The article describes its development and functions and leads to a well documented github repository to test the tool for yourself.

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