LING 406
Spring 2022 Part of Term 1
Jan 18-May 4
Credit: 3 OR 4 hours.
Introduces the field of natural language processing and computational linguistics. Topics include finite-state methods, parsing, probabilistic methods, machine learning in NLP, computational semantics and applications of NLP technology. The course combines linguistic theory with computational modeling.
3 undergraduate hours. 4 graduate hours. Prerequisite: LING 100 or LING 400, and CS 225 or equivalent, and STAT 200 or STAT 212 or STAT 400 or CS 361 or equivalent.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
44164
|
Lecture-Discussion
|
G4
|
11:00AM
-12:20PM
|
TR
|
108 English Building
|
Adams, C
Dell, B Girju, R |
|
|
|
67601
|
Lecture-Discussion
|
RG3
|
9:30AM
-10:50AM
|
TR
|
108 English Building
|
Adams, C
Dell, B Girju, R |
|
|
|
67602
|
Lecture-Discussion
|
RG4
|
9:30AM
-10:50AM
|
TR
|
108 English Building
|
Adams, C
Dell, B Girju, R |
|
|
|
40130
|
Lecture-Discussion
|
U3
|
11:00AM
-12:20PM
|
TR
|
108 English Building
|
Adams, C
Dell, B Girju, R |
|