9.59
Laboratory in Psycholinguistics
Hands-on experience designing, conducting, analyzing, and presenting experiments on the structure and processing of human language. Focuses on constructing, conducting, analyzing, and presenting an original and independent experimental project of publishable quality. Develops skills in reading and writing scientific research reports in cognitive science, including evaluating the methods section of a published paper, reading and understanding graphical displays and statistical claims about data, and evaluating theoretical claims based on experimental data. Instruction and practice in oral and written communication provided.
Spring 2017 · Lab in Psycholinguistics
Topics
- Introduction to the Course: Experimental Methods, Constraints on Language, Mechanical Turk, R/statistics
- Quantitative Methods: Quantitative Syntax, Descriptive Statistics and Plotting
- Language as Communication, Part 1
- Language as Communication, Part 2
- Language Processing Over a Noisy Channel, Part 1
- Language Processing Over a Noisy Channel, Part 2
- What Makes a Long-Distance Extraction Unacceptable?
- Pragmatics: The Use of Referring Expressions
- The On-Line Computation of Pragmatic Information, Student Presentations of Projects
- Student Presentations of Projects
- The Foreign Language Effect: Thinking in a Froeign Tongue Reduces Decision Biases
- Syntactic Priming
- Color Language, Help with Projects and Oral Presentations
- Language and Thought: Number
- Culture and Language: Recursion
Readings
- Topic: 1: Course introduction · reading: No required readings
- Trueswell, J., and M. Tanenhaus. “Toward a Lexical Framework of Constraint-Based Syntactic Ambiguity Resolution.” Perspectives on Sentence Processing (1994): 155-179.
- Bergen, Leon, Roger Levy, and Edward Gibson. “Verb Omission Errors: Evidence of Rational Processing of Noisy Language Inputs.” Cognitive Science . 2012.
Prerequisites & course information
Same subject as 24.905[J] Prereq: None U (Spring) 3-3-6 units. Institute LAB
Sources
- Course catalogue ↗2026–2027
- MIT OpenCourseWare ↗Spring 2017
- MIT OCW readings ↗
- MIT OCW calendar ↗
- MIT OCW syllabus ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.