Natural Language Processing

Catalog description

Techniques for comprehending, representing, and producing natural languages such as English. Introduction to the core algorithms of NLP, including traditional models such as grammars and parsers and statistical models such as Markov models. Practice in building NLP components including text classifiers, part-of-speech taggers, spam filters, and machine translators. Study of computational methods that incorporate linguistic theory. Prerequisite: COSC 512 or equivalent or permission of the instructor.