The MAVEN project is an open-access tool designed to locate classical allusions in Enlightenment literature. This paper reports on two early steps: the generation of a dataset of 18th century French sentence-pairs rated by semantic similarity, and the performance of a sentence-transformer model trained on this dataset.

The purpose of this contribution is to present ALMA - Wissensnetze in der Mittelalterlichen Romania (Universität des Saarlandes), a new inter-institutional project that makes use of the tools offered by textual philology, lexicology, lexicography, linguistics, history, digital humanities, the semantic web and ontology engineering.

This study details the digitization of Larramendi's Trilingual Dictionary (1745) and prose text from the same author using open-source tools and public collaborative platforms like Wikidata and Wikisource. It highlights workflows for lexicographic annotation, integration with LOD, and other applications in historical linguistics, outlining future prospects for a digital edition.

This paper uses computational methods to explore the patterns of how key terms are detached from scholar’s names even as those names can come to stand for those ideas in both formal citation and more general reference across a corpus of English-language literary studies journals and monographs.

This short paper presentation covers current work-in-progress for development of the first-ever CLI and API that leverages language models to assist in philological research tasks for pre-modern texts. Specifically, this presentation focuses on how this software makes language models more accessible to classics scholars for real-world research tasks.