The Eurasian Latin Archive (ELA) is a digital platform designed to collect and analyse Latin and multilingual texts relating to East Asia from the medieval and early modern periods. Initially developed within the DAS-MeMo project (2018-2020) and subsequently expanded through the SERICA framework, ELA offers textual data and computational tools for corpus-based research. This article presents ELA as a research environment, outlining its data model, technical architecture, and NLP workflow. Through selected examples, it shows how users can query, filter and compare documents. Beyond a functional overview, the article reflects on some methodological challenges in modelling multilingual Latin corpora and sketches possible directions for future extensions of the project.
Emmanuela Carbé (Thu,) studied this question.