This project aims to improve machine translation (MT) accuracy and efficiency by integrating Large Language Models (LLMs) with retrieval-based MT techniques and synthetic data augmentation. The approach involves generating synthetic ...read more
The aim of the project is to contribute to a novel model of turn-taking in dialogue interpreting (DI) by offering an analysis in terms of ‘cognition for interaction’ (Levinson 2015). ...read more
This project applies the computational analysis of style to aural features of medieval Anglo-Latin hagiography (900-1150). Although hagiographies possessed a sermonic quality, had a didactic function and were ceremonially recited, the reading ...read more
This project explores the potential for sustainable economic valorization of a multilingual tool designed to improve communication in healthcare settings. Key features include translations provided by native speakers, spoken translations ...read more
Our objective is to investigate how learners of Italian as a second and/or as a foreign language use dictionaries to look for new meanings. To do so, we aim to ...read more
Ancient Greek dialects exhibit a great deal of geographic, diachronic, and sociolinguistic variation in their usage, both as spoken and as literary varieties. The Hellenistic age (4th – 1st cc. ...read more
This project investigates alternating predicates in Romanian (Ma enerveaza atitudinea lui, lit. me.ACC irritates attitude.the.NOM his vs. Atitudinea lui ma enerveaza, lit. attitude.the.NOM his me.ACC irritates), and their evolution over ...read more
Machine translation is all around us, and to push its quality forward a variety of automatic metrics exists to compare the quality of machine translations with reference translations. Yet, an ...read more
Recent years have seen a growing research interest on the application of translation technology to literary translation workflows, mostly in the form of Machine Translation (MT) or post-editing of MT ...read more
Is generative AI ushering in a new dawn for writing evaluation?
The primary research objective of this project is to use state-of-the-art machine learning techniques to enable automatic writing support, for both ...read more