LING773

Computational Linguistics II

Prerequisite: LING723, CMSC723, or INST735; or permission of instructor. Cross-listed with CMSC773, INST736. Credit only granted for: CMSC773, LING773, or INST736. Additional information: CMSC students may only receive PhD Comp. credit for CMSC723 or CMSC823, not both. Natural language processing with a focus on corpus-based statistical techniques. Topics include: stochastic language modeling, smoothing, noisy channel models, probabilistic grammars and parsing; lexical acquisition, similarity-based methods, word sense disambiguation, statistical methods in NLP applications; system evaluation.

Past Semesters

Philip Resnik

0 reviews
Average rating: N/A

Jordan Boyd-Graber

0 reviews
Average rating: N/A

Include P/F semesters During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.52 between 145 students*

A-: 19.31%

A: 35.17%

A+: 14.48%

B-: 3.45%

B: 6.21%

B+: 7.59%

C-: 0.69%

C: 0.69%

C+: 0.69%

D: 0.69%

F: 2.07%

W: 2.07%

other: 6.9%

* "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.