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Description
Artificial Intelligence has long played a role in Digital Humanities. Since the 2000s, methods using Machine Learning and Deep Learning have been tested and applied successfully, especially for tasks like reusing and comparing texts. The Latin Text Archive (LTA), which is a platform designed for historical semantic analysis of medieval Latin texts, once offered such features. However, due to challenges with maintenance and security, these capabilities had to be discontinued. Today, new advancements in Agentic Coding and powerful AI technologies present opportunities to recreate previous analytical tools and develop entirely new ones for genuine semantic analysis. This article discusses the current problems faced by Digital Humanities projects and examines possible solutions.