Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

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CSE 842 Natural Language Processing

Semester:
Spring of odd years
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Recommended Background:
Programming skills, basic probability and statistics knowledge.
Description:
Models and algorithms for natural language processing including syntax, semantics, pragmatics, and discourse. Knowledge-based and statistical approaches to a variety of language related applications.
Effective Dates:
SS05 - US23

CSE 842 Natural Language Processing

Semester:
Fall of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
CSE 840
Recommended Background:
Programming skills, basic probability and statistics knowledge.
Restrictions:
Open to graduate students in the Department of Computer Science and Engineering or approval of department.
Description:
Models and algorithms for natural language processing including syntax, semantics, pragmatics, and discourse. Knowledge-based and statistical approaches to a variety of language related applications.
Effective Dates:
FS23 - Open