This course is taught in ¡­

This course is taught in English. The class will introduce Common-Lisp as a versatile and (still) modern tool for symbolic computation, looking at problems in Artificial Intelligence and (predominantly) Computational Linguistics. The focus here will be (a) general search techniques (FSA recognition, PoS tagging, parsing, and unification), (b) memoization and dynamic programming, and (c) basic machine learning techniques (classification, sequence labeling, PCFGs). Please take a look at the reading list and obtain a personal copy of the main textbook, Speech and Language Processing (2nd Edition), and either make sure you can comfortably read the on-line copy of Practical Common Lisp, or buy your own paper edition. Further information on the course schedule and topics will be posted prior to the first lecture. Please watch the course web pages regularly, throughout the semester.