Data Science for Linguists 2021

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     LING 1340/2340

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Class Schedule

*Class schedule is subject to revision throughout the semester.

W Date Due (before class @ 1pm) Topics
Tools
#To-do/Homework
Project
1 1/19 [slides] Course introduction, setup
1/21 #1 [slides] Data in linguistics
2 1/26 Homework 1: Explore linguistic data [slides] Processing linguistic data
1/28 #2 Data processing fundamentals, statistics [slides, JNB] Python's numpy library
3 2/2 #3 [slides, JNB] Data frames with pandas
2/4 #4 [JNB] More pandas, text processing, stats
4 2/9 [JNB] Stats crash course, visualization
2/11 Homework 2: Process the ETS corpus (1st half) [JNB, JNB] Stats continued, HW2 review
5 2/16 #5, HW2 (2nd half) Open access & data publishing
[slides] Guest speaker Lauren Collister
2/18 Data mining [JNB, JNB] HW2 review, mining web & social media
6 2/23 Self-care day: No class
2/25 #6 Corpus linguistics, annotation [slides] Corpora: data formats
7 3/2 #7 [slides] Linguistic annotation
3/4 Machine learning [slides, JNB] Annotation Ctd, Regression
8 3/9 #8 [JNB] Classifiers: NB, count vectors, TF-IDF
3/11 #9 [JNB] SVC, categorical data, cross-validation
9 3/16 Homework 3: Machine learning with ETS data [JNB, JNB] Homework 3 review
3/18 #10 [JNB] HW3 continued
10 3/23 Big data at CRC, and machine learning (continued), and advanced NLP [slides] Command-line tools
3/25 #11 (new: 1-day extension) [JNB, slides] Supercomputing at CRC, HW3 wrap: dimensionality reduction, ensemble model
11 3/30 #12 [slides, JNB] Computational efficiency (by Joey), Grid Search and parallel processing
4/1 #13 [JNB, JNB, JNB] Big data wrangling, grid search continued, clustering & topic modeling
12 4/6 Homework 4: Supercomputing Yelp Data [repo, JNB] Homework 4 review, advanced NLP
4/8 #14 Speech & multimedia [slides] Speech data and corpora
13 4/13 [slides] ASR theory, forced aligner
4/15 #15 Project presentations SC, EM, [slides] Multimodal data
14 4/20 AC, JP, FH
4/22 LB, MB, ET
15 5/2 No class: finals week