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Category LaTeX Ninja’ing and the Digital Humanities (The LaTeX Ninja)

How to create your own fine-tuning or training dataset for computer vision using Supervisely

In an earlier post, I described the considerations that go into creating a training dataset for Computer Vision, including how read more How to create your own fine-tuning or training dataset for computer vision using Supervisely See also: Original Source… Continue Reading →

How to annotate fast

In 2017, I had an internship at the German Historical Institute in Paris, where my task was to annotate around 1,200 regests. My job was to get them from source data in a Word document to TEI-XML in the end,… Continue Reading →

How to write a (Digital Humanities) abstract? Lessons Learned from Reviewing

Writing abstracts and conference submissions is a key element of academic life, yet, I find that there is little guidance for those new to the activity. There are many things to know that will (in my experience) drastically increase your… Continue Reading →

About the Radio Silence

I haven’t blogged for a while. I owe you an apology and an explanation, so here goes… Why I’m not blogging I’ve been reflecting a lot over the last few years on why I don’t really blog anymore. I think… Continue Reading →

Why Do We Need to Digitize the Materiality of Pre-Modern Books?

Understanding the material aspects of historical books is crucial. Unlike modern books, copies from the same print run of historical read more Why Do We Need to Digitize the Materiality of Pre-Modern Books? See also: Original Source by The LaTeX… Continue Reading →

What do we mean by ‘materiality’ in the context of rare book digitization?

Everybody is talking about “materiality” but what does that even mean? It’s actually kind of hard to understand the materiality read more What do we mean by ‘materiality’ in the context of rare book digitization? See also: Original Source by… Continue Reading →

How to create a ground truth data set for computer vision using Humanities data

Today’s blog post is a teaser for a video class called Computer Vision for Digital Humanities (funded by CLARIAH-AT with the support of BMBWF). The self-learning resource (video lessons plus Jupyter notebooks) is an introduction to Computer Vision methods for… Continue Reading →

Data Feminism as a Challenge for Digital Humanities?

During the annual conference of the DHd Association, the Empowerment Working Group organized a workshop on the topic of Data Feminism in the Digital Humanities (organized by Luise Borek, Nora Probst & Sarah Lang, technical support: Yael Lämmerhirt)[1]. This short… Continue Reading →

What’s the deal with modelling in Digital Humanities?

Modelling is central to the Digital Humanities. Even so much that some claim it is what unites the DH as a field or discipline! But what is modelling? What do we mean by it anyway? This post will hopefully provide… Continue Reading →

What you really need to know about Digital Scholarly Editing

Today’s post is a short introduction to digital scholarly editing. I will explain some basic principles (so mostly theory) and point you to a few resources you will need to get started in a more practical fashion. I’m teaching a… Continue Reading →

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