Gabriele Sarti

DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages

2022

We introduce DivEMT, the first publicly available post-editing study of Neural Machine Translation (NMT) over a typologically diverse set of target languages. Using a strictly controlled setup, 18 professional translators were instructed to translate or …

A Primer on the Inner Workings of Transformer-based Language Models

2024 · arXiv (Cornell University)

The rapid progress of research aimed at interpreting the inner workings of advanced language models has highlighted a need for contextualizing the insights gained from years of work in this area. This primer provides a …