The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.
5000. Introduction to Computational Linguistics
3.00 credits
Prerequisites: Open to graduate students in Linguistics and others with consent of Instructor. Recommended preparation: At least one course in Linguistics or Computer Science.
Grading Basis: Graded
Computational methods in linguistic analysis and natural language processing. Topics include the use of text corpora and other sources of linguistic data; morphological analysis, parsing and language modeling; applications in areas such as information retrieval and machine translation.
Last Refreshed: 18-APR-24 05.20.14.350110 AM
| Term | Class Number | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Enrollment | Location | Credits | Grading Basis | Notes | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1243 7138 1 001 | Spring 2024 | 7138 | Storrs | In Person | Kaufmann, Stefan | 001 | Reg | MoWeFr 10:10am‑11:00am |
3/10 | SHH 308 | 3.00 | Graded |