Gabriele Sarti, Arianna Bisazza

Gabriele’s doctoral project as a member of the InDeep Dutch consortium focuses on devising new approaches and applications of explainable AI in neural machine translation. His research is particularly concerned with bridging the gap between theoretical insights about the inner workings of neural network-based language models to improve human-AI collaboration. He was previously a research intern on the Amazon Translate team and worked as a research scientist at the Italian startup Aindo. Arianna’s research aims to identify the intrinsic limitations of current language modeling paradigms and improve machine translation quality for challenging language pairs. She has been working towards better MT algorithms for fourteen years and was recently awarded sizeable grants for her research on language models interpretability and the development of conversational and cognitively-plausible learning systems by the Dutch Research Council.