CMSC470

Introduction to Natural Language Processing

Prerequisite: Minimum grade of C- in CMSC320, CMSC330, and CMSC351; and 1 course with a minimum grade of C- from (MATH240, MATH461). Restriction: Permission of CMNS-Computer Science department. Introduction to fundamental techniques for automatically processing and generating natural language with computers. Machine learning techniques, models, and algorithms that enable computers to deal with the ambiguity and implicit structure of natural language. Application of these techniques in a series of assignments designed to address a core application such as question answering or machine translation.

Spring 2026

13 reviews
Average rating: 2.54

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Fall 2025

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Spring 2025

13 reviews
Average rating: 2.54

Past Semesters

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13 reviews
Average rating: 2.54

3 reviews
Average rating: 2.33

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13 reviews
Average rating: 2.54

3 reviews
Average rating: 2.33

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1 review
Average rating: 1.00

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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.24 between 654 students*

CMSC470 Grade Distribution+-0510152025303540455055% of studentsABCDFWother
A-: 14.98%
A: 25.23%
A+: 9.94%
B-: 8.56%
B: 13.46%
B+: 14.68%
C-: 2.45%
C: 2.14%
C+: 2.75%
D: 0.46%
F: 1.68%
W: 3.52%
other: 0.15%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.