Introduction to Computational Morphology

The aim of the course is to acquaint the students with standard tasks of computational morphology, such as morphological tagging, lemmatization and inflection. We discuss these problems in two settings: the first one uses only lexicon information and models morphological inflection using finite state techniques, while the second exploits corpus information and statictical methods. The main goal is to give thorough mathematical description of the models behind these approaches, which are automata and transducers in the first case and hidden Markov models and weighted transducers in the second. We also briefly describe existing software products for computational morphology.