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9 results found.
  • Digital Approaches to Textual Analysis Course

    EN
    This free online course provides a practical introduction to working with digital texts and applying some of the tools available to digitise and interrogate them. It will help you to decide whether to use digital approaches to textual analysis and to select the correct tools for your research project.
    Authors, editors, and contributors
    • Kaspar Beelen
    • Megan Bushnell
    • Hannah Morcos
  • Automatic Text Recognition Made Easy

    EN
    Explore this curriculum on Automatic Text Recognition (ATR) and learn how to efficiently extract full text from heritage material images. Perfectly tailored for researchers, librarians, and archivists, these resources not only enhance your archival research and preservation efforts but also unlock the potential for computational analysis of your sources.
    Authors, editors, and contributors
    • Anne Baillot
    • Mareike König
    • Alix Chagué
  • Automatic Text Recognition (ATR) - Layout Analysis

    EN
    Discover the subtleties of region and line segmentation and learn about the purpose of layout analysis for Automatic Text Recognition!
    Authors, editors, and contributors
    • Alix Chagué
    • Hugo Scheithauer
    • Anne Baillot
  • Transcribing Handwritten Text with Python and Microsoft Azure Computer Vision

    EN
    Tools for machine transcription of handwriting are practical and labour-saving if you need to analyse or present text in digital form. This lesson will explain how to write a Python program to transcribe handwritten documents using Microsoft's Azure Cognitive Services, a commercially available service that has a cost-free option for low volumes of use.
    Authors, editors, and contributors
    • Jeff Blackadar
    • Giulia Taurino
  • Automatic Text Recognition (ATR) - Getting Started

    EN
    Kick off your journey into Automatic Text Recognition (ATR) with our introductory tutorial video. This is the first video of a tutorial series dedicated to extracting full text from scanned images.
    Authors, editors, and contributors
    • Ariane Pinche
    • Pauline Spychala
    • Anne Baillot