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CSCI 573: Computational Linguistics

Computer Science · 4 credits

Advanced principles, methods, and current research in Natural Language Processing (NLP). Emphasizes data-driven and neural approaches and their applications to modern NLP tasks. Topics include language modeling, text classification, syntactic and semantic analysis, and corpus-based methods. Includes critical review of recent research, implementation and evaluation of advanced models, and independent or collaborative projects exploring state-of-the-art techniques.

Offered in 4 of the 26 listed terms (Winter 2022 to Spring 2027).

Prerequisites

DATA 471 or DATA 571

Prerequisite tree

Each course's own prerequisites, down to the first courses in the chain.

From Banner's catalog for Spring 2027. Banner lists only the requisites it enforces, so check the catalog entry too.

Required by (0)

No course lists it as a prerequisite.

Syllabi and course websites

None listed yet.

Instructors

InstructorSectionsTerms
Liu, Yudong4Winter 2022 to Spring 2027

Every offering in the listed terms (4 sections)

TermSecCRNTypeMeetsInstructorEnrolledDelivery
Spring 2027022223LectureTR 10:00am-11:40am · AW 205Liu, Yudong0/10Face to Face Instruction
Spring 2026022563LectureMTWF 10:00am-10:50am · CF 227Liu, Yudong4/5Face to Face Instruction
Spring 2025023114LectureMTWF 12:00pm-12:50pm · CF 125Liu, Yudong6/7Face to Face Instruction
Winter 2022014238LectureMTWF 2:00pm-2:50pm · SL 140Liu, Yudong15/15Face to Face Instruction