The contribution proposes a verb-class-based approach for the coarse-grained semantic classification of literary texts. Our annotations classify verbal phrases based on the semantic class of their main verb. Despite potential quality issues at the micro level, we demonstrate that this approach can yield valuable insights at the story level.

This study uses statistical word frequency analysis to explore the Groot Verseboek anthology of Afrikaans poetry, examining dominant themes, stylistic trends, and shifts in socio-historical context. By combining Digital Humanities and literary analysis, it reveals how canon formation reflects cultural and ideological values, offering new perspectives on Afrikaans literature.

This presentation showcases a case study from VERITRACE, an ERC project using digital tools to identify the influence of ancient wisdom traditions on early modern science, highlighting connections between ancient texts and the works of Kepler, Galileo, and Descartes through text matching and semantic analysis, revealing multilingual traces of influence.

The project From Parchment to Computer offers courses on Textual Criticism and digital scholarly editing, blending theory and practice. It aims to train participants in creating digital editions, promote Digital Philology, enhance critical understanding of digital technologies, and contribute to democratizing access to these tools while advancing DH in Portugal.