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CS 322 Natural Language Processing 6 credits
Advances like deep learning and large language models have led to computer programs that seem to converse intelligently with people. But how do these programs work, and do they really understand language? In this course, we’ll explore techniques that aim to enable computers to interpret and respond appropriately to ideas expressed using natural languages (such as Chinese or English) as opposed to formal languages (such as Python or C). Topics may include classical and modern approaches, and varying applications, such as machine translation, semantic analysis, and question answering.
- Fall 2025
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
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Student has completed any of the following course(s): CS 200 with a grade of C- or better or CS 201 with a grade of C- or better or received a Carleton Computer Science 200 Requisite Equivalency AND CS 202 with a grade of C- or better or received a Carleton Computer Science 202 Requisite Equivalency or MATH 236 with a grade of C- or better or received a Carleton Math 236 Requisite Equivalency. MATH 236 will be accepted in lieu of CS 202.
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CS 322.01 Fall 2025
- Faculty:Anna Rafferty 🏫 👤
- Size:34
- M, WAnderson Hall 329 9:50am-11:00am
- FAnderson Hall 329 9:40am-10:40am
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17 seats held for CS Match until the day after rising junior priority registration.