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@@ -243,7 +243,7 @@ <h1 class="title">Text digitization, recognition and analysis</h1>
 
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 <h1 class="unnumbered">Preface</h1>
-<p>These are the materials for the course “Text recognition and analysis, 6-7 Feb.&nbsp;2025” at the Leibniz-Institut für Europäische Geschichte (IEG), Mainz. This book will serve as a reference for the course, and as a general introduction and reference for all things Handwritten Text Recognition / Optical Character Recognition (HTR/OCR).</p>
+<p>These are the materials for the course “Text recognition and analysis, 6-7 Feb.&nbsp;2025” at the Leibniz-Institut für Europäische Geschichte (IEG), Mainz, and in support of COBECORE project research efforts at the Free University Brussels, Belgium. This book will serve as a reference and as a general introduction for all things Handwritten Text Recognition/Optical Character Recognition (HTR/OCR).</p>
 <p>This reference gives an overview of the most common tools for historical (handwritten) text recognition, but can be applied elsewhere, too. In addition, I will also briefly discuss the initial digitization and potential citizen science components of such projects, leveraging my experience leading the <a href="https://cobecore.org/">Congo basin eco-climatological data recovery and valorisation project</a>. It will discuss the practical issues of such projects and how to resolve them efficiently and cost-effectively. This course is a practical tool, not a theoretical machine learning reference. This course will give you an idea of what it takes to start, and complete, a text recognition and analysis effort.</p>
 
 

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-    "text": "Preface\nThese are the materials for the course “Text recognition and analysis, 6-7 Feb. 2025” at the Leibniz-Institut für Europäische Geschichte (IEG), Mainz. This book will serve as a reference for the course, and as a general introduction and reference for all things Handwritten Text Recognition / Optical Character Recognition (HTR/OCR).\nThis reference gives an overview of the most common tools for historical (handwritten) text recognition, but can be applied elsewhere, too. In addition, I will also briefly discuss the initial digitization and potential citizen science components of such projects, leveraging my experience leading the Congo basin eco-climatological data recovery and valorisation project. It will discuss the practical issues of such projects and how to resolve them efficiently and cost-effectively. This course is a practical tool, not a theoretical machine learning reference. This course will give you an idea of what it takes to start, and complete, a text recognition and analysis effort.",
+    "text": "Preface\nThese are the materials for the course “Text recognition and analysis, 6-7 Feb. 2025” at the Leibniz-Institut für Europäische Geschichte (IEG), Mainz, and in support of COBECORE project research efforts at the Free University Brussels, Belgium. This book will serve as a reference and as a general introduction for all things Handwritten Text Recognition/Optical Character Recognition (HTR/OCR).\nThis reference gives an overview of the most common tools for historical (handwritten) text recognition, but can be applied elsewhere, too. In addition, I will also briefly discuss the initial digitization and potential citizen science components of such projects, leveraging my experience leading the Congo basin eco-climatological data recovery and valorisation project. It will discuss the practical issues of such projects and how to resolve them efficiently and cost-effectively. This course is a practical tool, not a theoretical machine learning reference. This course will give you an idea of what it takes to start, and complete, a text recognition and analysis effort.",
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