LING698C

Directed Study; Computational Psycholinguistics

Reviews for this courseTestudo

Explores how ideas from statistics and machine learning can be used to model the acquisition, processing, and evolution of language. The focus will be on three popular computational approaches: symbolic systems, neural networks, and probabilistic models.

Sister Courses: LING698, LING698D, LING698T

Past Semesters

Naomi Feldman

0 reviews
Average rating: N/A

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 3.57 between 22 students*

LING698C Grade Distribution+-0510152025303540455055606570% of studentsABCDFWother
A-: 18.18%
A: 50%
B-: 4.55%
B: 4.55%
B+: 4.55%
F: 4.55%
other: 13.64%
* "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.