Course Schedule

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Course Term
Course Attributes
Spring 2025
LING

LING 539 – Statistical Natural Language Processing
GIDP: Cognitive Science (COGS) · GIDP: Second Lang. Acquisition & Teaching (SLAT) · GIDP: Statistics and Data Science (STATD)

This course introduces the key concepts underlying statistical natural language processing. Students will learn a variety of techniques for the computational modeling of natural language, including: n-gram models, smoothing, Hidden Markov models, Bayesian Inference, Expectation Maximization, Viterbi, Inside-Outside Algorithm for Probabilistic Context-Free Grammars, and higher-order language models. Graduate-level requirements include assignments of greater scope than undergraduate assignments. In addition to being more in-depth, graduate assignments are typically longer and additional readings are required.

Section
001
Days
TuTh
Time
08:00 AM - 09:15 AM
Date
Jan 15 - May 7
Instructor
Hammond, Mike
Status
Closed
Enrollment
32 / 30
  • Days: TuTh
  • Time: 08:00 AM - 09:15 AM
  • Dates: Jan 15 - May 7
  • Status: Closed
  • Enrollment: 32 / 30
Section
101
Days
Time
Date
Mar 17 - May 7
Instructor
Brenner, Daniel S
Status
Open
Enrollment
45 / 50
  • Days:
  • Time:
  • Dates: Mar 17 - May 7
  • Status: Open
  • Enrollment: 45 / 50
Section
201
Days
Time
Date
Mar 17 - May 7
Instructor
Brenner, Daniel S
Status
Open
Enrollment
45 / 50
  • Days:
  • Time:
  • Dates: Mar 17 - May 7
  • Status: Open
  • Enrollment: 45 / 50