INST735

Computational Linguistics I

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Prerequisite: CMSC421 or CMSC422; or students who have taken courses with comparable content may contact the department; or permission of instructor. Cross-listed with: CMSC723, LING723. Credit only granted for: CMSC723, LING723, or INST735. Additional information: CMSC students may only receive PhD Comp. credit for CMSC723 or CMSC823, not both. Fundamental methods in natural language processing. Topics include: finite-state methods, context-free and extended context-free models of syntax; parsing and semantics interpretation; n-gram and Hidden Markov models, part-of-speech tagging; natural language applications such as machine translation, automatic summarization, and question answering.

Fall 2024

Jordan Ying

0 reviews
Average rating: N/A

Naomi Feldman

1 review
Average rating: 5.00

Fall 2023

Marine Carpuat

6 reviews
Average rating: 4.00

Past Semesters

Jordan Boyd-Graber

2 reviews
Average rating: 3.00

Hal Daume

9 reviews
Average rating: 2.56

Jordan Boyd-Graber Ying

2 reviews
Average rating: 2.50

Jordan Boyd-Graber

2 reviews
Average rating: 3.00

Jordan Ying

0 reviews
Average rating: N/A

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.