Towards simpler tree substitution grammars Federico Sangati Abstract: In this thesis we will investigate several supervised methods of learning the syntactic structure of natural languages. Supervised learning is one of several machine learning paradigms. It differs from the unsupervised methodologies in the fact that it learns from a number of existing examples of correct syntactic structures.