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5.0
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5.0
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1,000
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99%
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
CS 6320 Mithun Balakrishna | |||||
A- | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
CS 6320 Mithun Balakrishna | |||||
A- | |||||
Mithun Balakrishna
[email protected]Grades: 546
Median GPA: A-
Mean GPA: 3.460
4.3
Professor rating
3
Difficulty
16
Ratings given
67%
Would take again
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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Mithun Balakrishna
[email protected]Grades: 546
Median GPA: A-
Mean GPA: 3.460
4.3
Professor rating
3
Difficulty
16
Ratings given
67%
Would take again
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.