DARIAH
DARIAH is a pan-European infrastructure for arts and humanities scholars working with computational methods. It supports digital research as well as the teaching of digital research methods.
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Training New Language Models in spaCy
ENThis course covers practices and workflows for training new NLP models using spaCy, from project setup to model evaluation and packaging.Cadet: Preparing Data for New Language Models in spaCy
ENMISSING GOALS OF THIS COURSE __ ONE SENTENCE:spaCy Architecture for Humanists
ENThis course introduces the architecture of the spaCy NLP library and its implications for humanists who want to use it in their research.Machine Learning for NLP
ENThis course provides a conceptual introduction to machine learning and its role in Natural Language Processing.NLP for Humanists: An Introduction to Key Concepts and Workflows
ENThe goal of this course is to introduce key concepts and workflows in Natural Language Processing (NLP) to humanities scholars who have little or no experience with the field.Digitisation Methods for Material Culture
ENThis resource is an introduction to Digitisation Methods for Material Culture. The resource explores basic topics with regards to the study of material culture, while also looking at types of media as means to communicate and share information about it, as well as digitisation methods to capture material culture data.Creating Stories with 3D Data on the Web
ENThis resource provides guidance on how to use digital storytelling, deploying 3D data, annotations and combining media to enable users to access and explore information about digital heritage assets over the web.Automatic Text Recognition (ATR) - Step 2: Where and How to Get Images
ENThis tutorial explores where and how to find, create, and collect images of textual material, a crucial initial step in any process using Automatic Text Recognition (ATR).