University of Illinois Urbana-Champaign 3-4 credits Linguistics
An advanced treatment of core topics in computational linguistics, including approaches to morphology, syntax, and semantics. These areas are studied using traditional symbolic frameworks as well as more recent neural frameworks. There is a focus on integrating symbolic and neural approaches to build complex natural language processing systems, such as natural language understanding. This course provides a theoretical foundation for the field and hands-on experience in working with text-based models. 3 undergraduate hours. 4 graduate hours. Prerequisite: LING 100 or LING 400; LING 413; LING 402 or equivalent Python experience; and LING 448 or equivalent machine learning experience.
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