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Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
CS 6320 (Overall) | |||||
A- | |||||
CS 6320 Zhiyu Chen | |||||
A | |||||
CS 6320 Jessica Ouyang | |||||
A- | |||||
Not teaching in Spring 2026 | |||||
CS 6320 Mithun Balakrishna | |||||
A- | |||||
CS 6320 Xinya Du | |||||
A | |||||
CS 6320 Tatiana Erekhinskaya | |||||
A | |||||
CS 6320 Sanda Harabagiu | |||||
A- | |||||
CS 6320 Karen Mazidi | |||||
A | |||||
CS 6320 Dan Moldovan | |||||
B+ | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
CS 6320 (Overall) | |||||
A- | |||||
CS 6320 Zhiyu Chen | |||||
A | |||||
CS 6320 Jessica Ouyang | |||||
A- | |||||
Not teaching in Spring 2026 | |||||
CS 6320 Mithun Balakrishna | |||||
A- | |||||
CS 6320 Xinya Du | |||||
A | |||||
CS 6320 Tatiana Erekhinskaya | |||||
A | |||||
CS 6320 Sanda Harabagiu | |||||
A- | |||||
CS 6320 Karen Mazidi | |||||
A | |||||
CS 6320 Dan Moldovan | |||||
B+ | |||||
Natural Language Processing
CS 6320
Erik Jonsson School of Engineering and Computer Science
This course covers state-of-the-art methods for natural language processing. After an introduction to the basics of syntax, semantic, and discourse analysis, the focus shifts to the integration of these modules into natural-language processing systems. In addition to natural language understanding, the course presents advanced material on lexical knowledge acquisition, natural language generation, machine translation, and parallel processing of natural language. 3 credit hours.
Prerequisite: CS 5343.
Offering Frequency: Each year
Grades: 2,131
Median GPA: A-
Mean GPA: 3.568
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Natural Language Processing
CS 6320
Erik Jonsson School of Engineering and Computer Science
This course covers state-of-the-art methods for natural language processing. After an introduction to the basics of syntax, semantic, and discourse analysis, the focus shifts to the integration of these modules into natural-language processing systems. In addition to natural language understanding, the course presents advanced material on lexical knowledge acquisition, natural language generation, machine translation, and parallel processing of natural language. 3 credit hours.
Prerequisite: CS 5343.
Offering Frequency: Each year
Grades: 2,131
Median GPA: A-
Mean GPA: 3.568
Click a checkbox to add something to compare.