This PhD addresses the phenomenon of similarity in Roman Imperial cultural expressions in Asia Minor through a detailed analysis of the thus far neglected touchstone of the region’s architectural decoration. ...read more
Due to current political and demographic developments, multilingual psychotherapy for refugees and migrants is becoming increasingly relevant. Interpreters are often indispensable in bridging the language barrier between patient and therapist. ...read more
With a growing use of and interest in machine translation (MT) and a growing demand for gender-inclusiveness, research on social biases (e. g., gender bias) in MT is increasing. Research ...read more
In the latter half of the 20th century, Dutch authors like Gerard Reve, Frans Kellendonk, Jan Siebelink, and Désanne Van Brederode adopted an idiosyncratic stance towards the Christian tradition. While extensive research ...read more
During the Early and Middle-Late Holocene at least eight abrupt centennial-scale Rapid Climate Change events (RCC) have occurred, which have been globally identified by recent climate records. However, still little is ...read more
Displays of Desire aims to gain insight into how early modern Dutch comedies represent the idea of consumption and desire through theatrical imagination. Doing so, the project not only highlights ...read more
Past vegetation evolution is generally studied using pollen analyses from lake sediments or peat bogs. Such sedimentary archives dating to the middle and late Holocene period are largely missing in ...read more
Although gender-neutral 3rd person pronouns (3PPs) are increasingly appearing in media discourse, studies of how readers interpret and evaluate them are currently still scarce. This project therefore aims at conducting ...read more
In this project we seek to study human/non-human interaction in the case of Oromo fables told during oral performance, focusing in particular on the interactions between different creatures, entities and forces, how ...read more
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