CS 2731 INTRO NATURAL LANGUAGE PROCSSNG
This course provides an introduction to the field of Natural Language Processing (NLP) - the creation of computer programs that can understand, generate, and learn natural language. Natural language understanding will be used as a vehicle to introduce the three major subfields of NLP: syntax, semantics, and pragmatics. The course will introduce both knowledge-based and statistical methods for NLP, and will illustrate the use of such methods in a variety of application areas.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Course Requirements: PLAN: Computer Science (CS-PHD; CS-MS; CSMSBS-MS) or Computer Engineering Electrical & Computer Engineer (ECE-MSECE; ECE-PHD)
Minimum Credits: 3
Maximum Credits: 3
Current Sections
Fall 2026
| Class No. | Days | Times | Room | Instructor(s) | TA(s) | Type |
|---|---|---|---|---|---|---|
| 26633 (1210) | Th | 1:00pm-3:30pm | SENSQ 5313 | Lorraine Li | LEC |