This paper describes the organization and the results of the third edition of EvaLatin, the campaign for the evaluation of Natural Language Processing tools for Latin. The two shared tasks proposed in EvaLatin 2024, i.,e., Dependency Parsing and Emotion Polarity Detection, are aimed to foster research in the field of language technologies for Classical languages. The shared datasets are described and the results obtained by the participants for each task are presented and discussed.

This paper describes the process of interlinking a lexical resource consisting of a list of more than 20,000 Neo-Latin words with other resources for Latin. The resources are made interoperable thanks to their linking to the anonymous Knowledge Base, which applies Linguistic Linked Open Data practices and data categories to describe and publish on the Web both textual and lexical resources for the Latin language.