LIN 392 Analyzing Linguistic Data: Schedule

This schedule is subject to change.

Assignments are due at the end of their due date (midnight).

Readings can be done either before or after class; they are chosen to support the material covered in class.

Readings: "ALD" is Baayen's "Analyzing Linguistic Data," "SE" is Hinton's "Statistics Explained."

Week 1, Jan 16

Class canceled because of inclement weather.

Week 2, Jan 23

Week 3, Jan 30

Week 4, February 6

  • Homework 1 due Thursday February 8 end of day

Week 5, February 13

Week 6, February 20

Week 7, February 27

Week 8, March 6

  • Guest lectures:

    • 2pm: Scott Myers

    • 3:30: Danny Law

Week 9, March 13: Spring Break

Week 10, March 20

Week 11, March 27

  • Thursday March 29: Homework 4 due

Week 12, April 3:

Week 13, April 10

  • Thursday April 12: Homework 5 due

Week 14, April 17

Week 15, April 24

    • Clustering for data exploration

      • Readings: ALD ch. 5 up to p. 148

    • R code: clustering

    • Topic modeling: a demo

      • For the topic modeling demo, we use two datasets available on Canvas: r8-train-data and r8-train-meta

Week 16, May 1

  • Project presentations:

      • 2pm: Laura Faircloth

      • 2:11: Javier Jasso

      • 2:22 Tracy Adams

      • 2:33 Brendon Kaufman

      • 2:44 Frances Cooley

      • 2:55 Katherine Winters

      • 3:06: Siddharth Kumar

      • 3:17: Lorena Orjuela

      • 3:28: Sandy Keerstock

      • 3:39: Gladys Camacho Rios

      • 3:50: Kristen Meemann

      • 4:01: Marylise Rilliard

      • 4:12: Rachel Tessmer

Final report due: May 10