 My main area of research is about building computational models that simulate the process of language learning in humans, mainly children. We don't have access to the brain of a child to actually find out what kind of information they have to learn in order to master a language. Very rarely do children receive explicit training on the meanings of individual words or even on the structure of the language, on the grammar. Therefore, we really don't know how children go from these full complex input that they receive to learn to use a language much more flexibly. Using a computational model that is given a task similar to what children face actually allows us to follow this process step by step. What does a model have to learn in order to perform this task? Do they have to learn about individual words? Do they have to learn about the phonological language? These are the questions that we are asking as researchers.