Linguistics 5702: Cognitive Models of Language

This course covers formal mathematical cognitive models of how language comprehension, production and acquisition work in the brain, and behavioral and neuroimaging experimental evidence about these models.

Prerequisites: LING2000 or LING2000H or LING3701 or LING3701H or any linguistics course 4000 or above, or graduate standing.

Instructor: William Schuler

Meeting time: Tuesday and Thursday 11:10am-12:30pm in Oxley 103

Web site: The updated syllabus, assignments, slides, etc. will be posted here, so check it regularly.

Textbook (optional): "Language in Mind: An introduction to Psycholinguistics," Julie Sedivy. Sinauer Associates, 2014. ISBN 978-0-87-893598-7.

Course Content:

Wk Assignments/readings for Monday Lecture: Tuesday Assignments/readings for Wednesday Lecture: Thursday
1 1/9 videos: probability, conditional probability 1/10 PS1 handout
overview, background, probability
1/11 videos: decision theory, predicates, quantifiers, lambda calculus 1/12
language and thought
2 1/16 1/17
1/18 1/19
3 1/23 PS1 due
1/24 PS2 handout
background: neural activation
1/25 tutorial: matrix multiplication 1/26
background: associative memory
4 1/30 video: Tom Mitchell on distributed representations 1/31
2/1 2/2
background: complex ideas
5 2/6 PS2 due,
videos: sine wave speech (original)
2/7 PS3 handout
speech, phonemes, hearing
2/8 videos: McGurk effect 2/9
phone recognition
6 2/13 2/14
ambiguity and resolution
2/15 2/16
7 2/20 PS3 due 2/21 PS4 handout
2/22 2/23
background: hierarchic sequential prediction
8 2/27 step-though: sentence processing 2/28
sentence processing and left-corner parsing
3/1 3/2
memory bounds
9 3/6 PS4 due 3/7 PS5 handout

(no class)
10 (spring break) (spring break) (spring break) (spring break)
11 3/20
papers: surprisal and memory
unified surprisal and memory effects
3/22 papers:left-corner surprisal 3/23
structural vs. deep neural surprisal
12 3/27 papers: left-corner surprisal in fMRI 3/28
fMRI surprisal and memory effects
3/29 3/30
quantifier scope
13 4/3 PS5 due papers: speech segmentation 4/4 PS6 handout
evidence for statistical learning, learning hierarchic rules
step-through: grammar induction
Bayesian induction experiments
14 4/10 4/11
background: generalization (learning)
4/12 paper: statistical grammar induction 4/13
neural induction experiments
15 4/17
learning meaning, models of grounding
4/19 PS6 due, video: alex the parrot, papers: Tomasello 4/20
instinct in learning

Credit hours and work expectations: This is a 3-credit-hour course. According to Ohio State policy, students should expect around 3 hours per week of time spent on direct instruction (instructor content and Carmen activities, for example) in addition to 6 hours of homework (reading and assignment preparation, for example) to receive a grade of (C) average.

Course requirements:

Student participation requirements: Consistent engagement is expected. If any problems arise relative to attendance, please contact the instructor as soon as possible. Communication is important. You are encouraged to participate during class, ask questions, work on in-class problems in small groups, and share your experiences relative to the subjects and discussion that day.

Faculty feedback and response time:

Grading scale: OSU standard scheme
A A- B+ B B- C+ C C- D+ D
93% 90% 87% 83% 80% 77% 73% 70% 67% 60%

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Weather or other short-term closing: Should in-person classes be canceled, I will notify you as to which alternative methods of teaching will be offered to ensure continuity of instruction for this class. Communication will be via email.