Learnable Classes of Categorial Grammars

This book investigates learnability of various classes of classical categorical grammars within the Gold paradigm of identification in the limit from positive data. Learning from structures and learning from flat strings are considered. The learning algorithms used in this work build on Buszkowski and Penn's algorithm for finding categorial grammars from input consisting of functor-argument structures.