Abstract
This lecture overviews an important topic of Digital Humanities, namely the relation between AI and Linguistic Studies. First an overview of Machine Learning is presented, focusing on the use of data in learning. Then Natural Language Processing is detailed, starting with word embedding, namely the transformation of words in vectors. This approach enabled the development of the Large language Models that are trained on huge data texts and exploit statistical relations between words to model text. GPT and ChatGPT are overviewed, as well as their use in education. AI in University education is presented, particularly in Humanities and Digital Humanities are introduced. Finally the effect of AI in citizen morphosis is presented, as related primarily to High School education.
Representing texts by vectors:Principal component analysis of Homer’s Iliad and Odyssey.
