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Modeling Language Variation
LING 109

Course Information

Description

Modeling Language Variation

What do patterns of language variation tell us about the way humans learn and use language and represent it in the mind? In this course, students encounter a series of puzzles relating to quantitative patterns of language variation and develop the tools to characterize and model these patterns. Along the way, students learn about the various types of distributions that linguistic data can take, frequentist and Bayesian approaches to statistical inference, how to create effective visualizations with language data, and how to use computational methods such as forced alignment for making spoken language data processing and analysis more efficient.   



 

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Department Linguistics
Course Component Lecture
Grading Basis FAS Letter Graded
General Education N/A
Quantitative Reasoning with Data Yes
Divisional Distribution Arts and Humanities
Course Level Primarily for Undergraduate Students