Universitat Pompeu Fabra (UPF)
Social & Behavioural Sciences
Marco is interested in human language and how it is acquired. To gain insights into these questions, he develops and studies computational systems, in particular deep neural networks, that acquire aspects of language from realistic input data. By analyzing the inner dynamics and external behaviour of these systems, we can gain insights into questions such as: how much linguistic knowledge is already implicitly present in input distributions, what are the minimal priors necessary for learning, what is the space of solutions to the communication challenges that led to the evolution of language, and so on. The ultimate goal of Marco's research is to bring about a more precise characterization of what is unique about the human language faculty.