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Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
CS 4395 (Overall) | |||||
A- | |||||
CS 4395 Sanda Harabagiu | |||||
B+ | |||||
Not teaching in Spring 2026 | |||||
CS 4395 Zhiyu Chen | |||||
A | |||||
CS 4395 Chris Davis | |||||
A | |||||
CS 4395 Xinya Du | |||||
A | |||||
CS 4395 Karen Mazidi | |||||
A- | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
CS 4395 (Overall) | |||||
A- | |||||
CS 4395 Sanda Harabagiu | |||||
B+ | |||||
Not teaching in Spring 2026 | |||||
CS 4395 Zhiyu Chen | |||||
A | |||||
CS 4395 Chris Davis | |||||
A | |||||
CS 4395 Xinya Du | |||||
A | |||||
CS 4395 Karen Mazidi | |||||
A- | |||||
Human Language Technologies
Erik Jonsson School of Engineering and Computer Science
Introduction to human language technologies (HLT), the study of natural languages from a computational perspective. Topics include computational models of syntax and semantics, natural language applications (such as machine translation, speech processing, information retrieval, and information extraction), and general machine-learning techniques commonly used in state-of-the-art HLT research. 3 credit hours.
Prerequisites: (CS 3341 or SE 3341) and (CE 3345 or CS 3345 or SE 3345) or equivalent.
Offering Frequency: Each year
Grades: 795
Median GPA: A-
Mean GPA: 3.423
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Human Language Technologies
Erik Jonsson School of Engineering and Computer Science
Introduction to human language technologies (HLT), the study of natural languages from a computational perspective. Topics include computational models of syntax and semantics, natural language applications (such as machine translation, speech processing, information retrieval, and information extraction), and general machine-learning techniques commonly used in state-of-the-art HLT research. 3 credit hours.
Prerequisites: (CS 3341 or SE 3341) and (CE 3345 or CS 3345 or SE 3345) or equivalent.
Offering Frequency: Each year
Grades: 795
Median GPA: A-
Mean GPA: 3.423
Click a checkbox to add something to compare.