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.