This methodological contribution deals with the problem of operationalising dramatic texts. More specifically, it introduces vectorisation according to structural features as a relatively novel and efficient option for accomplishing this task. Furthermore, it discusses potential and limitations of this methodology and presents some of its most recent applications in research.

This study presents a corpus-based approach to creating a SKOS vocabulary tailored for Ukrainian epigraphy. Integrating digital tools, NLP, and FAIR principles addresses gaps in cultural heritage preservation, offering scalable, efficient methods to document, analyze, and promote Ukrainian inscriptions while ensuring global research interoperability.

Set against the backdrop of recent debates in postcolonial studies, this paper uses a series of quantitative proxies for the categories of "literariness" and "cosmopolitanism" to situate the works of the postcolonial authors writing in English within a larger corpus of translations from South Asian and European languages.