Virtual Master Class in Quantitative Linguistics
University of Tartu, Estonia
May 4 - May 7, 2020
Virtual Master Class in Quantitative Linguistics
University of Tartu, Estonia
May 4 - May 7, 2020
The course will take place in Big Blue Button. The link will be sent to registered participants via e-mail.
Monday, 4 May
10.00-10.15 | Introductions |
10.15-11.00 | Statistics: Strategies for dealing with collinearity in regression modeling (Baayen) |
11:00-11.15 | Break |
11.15-12.00 | Statistics: Worked examples of dealing with collinear predictors (Baayen) |
12.00-13.00 | Lunch |
13.00-13.45 | Statistics: A conceptual introduction to the generalized additive model (GAM) (Baayen) |
13.45-14.00 | Break |
14.00-14.45 | Statistics: Using GAMs to analyse auditory lexical decision reaction times (Chuang) |
Tuesday, 5 May
Extra session: 10:00-10:15 Q&A on Monday's topics
10:15-11.00 |
Statistics: Advanced features of the generalized additive model (autocorrelation, Gaussian location-scale models, scaled t-distribution, ordinal regression, concurvity) (Baayen) |
11.00-11.15 | Break |
11.15-12.00 | Statistics: Using GAMs to analyse tone contours in Mandarin Chinese (Chuang) |
12.00-13.00 | Lunch |
13.00-13.45 | Statistics: Using GAMs to analyse geographical variation in deretroflexion in Taiwan Mandarin (Chuang) |
13.45-14.00 | Break |
14.00-14.45 | Statistics: Quantile Regression with GAMs: a tool for tracing whether predictors work out differently across the distribution of a response variable. (Baayen) |
14:45-16.00 | Break |
16.00-17.00 | TÜling: A blueprint for discriminative learning of simple utterances (Baayen) |
Wednesday, 6 May
10.00-11.30 | Data discussion session for PhD-students and their advisors |
11.30-12.00 | Break |
12.00-13.00 | Data discussion session for PhD-students and their advisors |
Thursday, 7 May
10.00-11.00 | Modeling: An introduction to discrimination learning with the ndl and WpmWithLdl packages (Baayen) |
11.00-11.15 | Break |
11.15.-12.00 | Modeling: Using WpmWithLdl to investigate the semantics of auditory nonwords (Chuang) |
12.00-13.00 | Lunch |
13.00-14.00 |
Modeling: Using WpmWithLdl to inflect Estonian nouns without using morphemes and inflection classes (Chuang) |