In Machine Learning, it is often convenient to use functions that are not fixed but only known with some probability. For example, let say we know the weather in Cambridge for the last few years and we would like to…

Many NLP models rely on training in one high-resource language, and they cannot be directly used to make predictions  for other languages at inference time. Most of the languages of the world are under-resourced and rely on Machine Translation (MT) to…