Data Science for Linguists 2022

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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 @ 3:45pm) Topics
Tools
#To-do/Homework
Project
1 1/11 [slides] Course introduction, setup
1/13 #1 [slides] Data in linguistics
2 1/18 Homework 1: Explore linguistic data [slides] Processing linguistic data
1/20 #2 Data processing fundamentals, Statistics [slides, JNB] Python's numpy library
3 1/25 #3 [slides, JNB] Data frames with pandas
1/27 #4 [slides] More pandas, text processing, stats
4 2/1 [JNB] Stats crash course, visualization
2/3 Homework 2: Process the ETS corpus (1st half) [JNB] Stats continued, HW2 review
5 2/8 HW2 (2nd half) [JNB] HW2 review (ctd)
2/10 #5 (due @2pm!!) Open access & data publishing, Corpora, Annotation, Data mining Guest speaker Lauren Collister
6 2/15 [slides, JNB] Corpora: data formats, mining web & social media
2/17 #6 [slides] Linguistic annotation
7 2/22 #7 [slides] Annotation continued
2/24
1st progress report
(due noon 27th)
Machine learning [JNB] Regression
8 3/1 #8 [JNB] Classifiers: NB, count vectors, TF-IDF
3/3 #9 [JNB] SVC, categorical data, cross-validation
No class: Spring break
9 3/15 Homework 3: Machine Learning with ETS data ML (ctd) [slides, JNB, JNB] HW 3 review
3/17 #10 [JNB] HW 3 review
10 3/22 #11 Big data at CRC, and Machine learning (ctd), and Advanced NLP [slides, JNB] HW3 wrap: dimensionality reduction, ensemble model, command line
3/24 [slides] Supercomputing, command line tools
11 3/29 #12 [slides] PCA by Sean Steinle, running jobs on CRC
3/31 #13 [slides, JNB] Computational efficiency, big data wrangling, OnDemand on CRC
12 4/5 Homework 4: Supercomputing Yelp Data [JNB, JNB] Clustering & topic modeling, advanced NLP
4/7 #14 Speech & multimedia [slides] Speech data and corpora
13 4/12 [slides, JNB] Forced aligner, ASR
4/14 [slides, slides] ELAN demo by Lindsey Rojtas, ASR theory, Misha
14 4/19 Ben, Kinan, Man Ho, Alejandro
4/21 Caroline, Emma, Rohan, Tianyi
15 5/1
6pm
Finals week