Methods: Modeling lexical processing
A practical introduction to the JudiLing package
In this two-part hybrid workshop, Harald Baayen will first give an introductory lecture on how to model lexical processing, followed by and a hands-on dive into the JudiLing package, an implementation for Linear Discriminative Learning in the Julia programming language.
The first part consists of a general introduction to the 'Discriminative Lexicon Model' (DLM), a cognitive computational model of the mental lexicon that Harald has been developing over the last 10 years with generous support from the Alexander von Humboldt Foundation and the European Research Council.
The second part of the workshop will take a hands-on approach. Harald will introduce participants to the software package JudiLing that Maria Heitmeier, Yu-Ying Chuang, and himself have been developing to facilitate setting up instances of DLM models. He will then provide the worked examples of how the software can be used to set up computational models for understanding and producing Estonian nouns and how measures from these models can be harvested to predict the acoustic durations of Estonian nouns and word naming latencies for these nouns, using data collected in collaboration with Arvi Tavast and Kaidi Loo.
When? 30th of November from 10:00-16:00 EET / 09:00-15:00 CET / 8:00-14:00 GMT.
Where? This is a hybrid event that will take place both online on zoom and at the Insitute of Estonian and General Linguistics in Tartu in room 114. You will get the zoom link after registration.
Schedule (EE time zone):
10:00-12:00 Introductory lecture on the JudiLing package
12:00-14:00 Lunch break (snacks in Jakobi 2-115)
14:00-16:00 Hands-on practical examples
About the instructor
Harald Baayen is a Professor of Quantitative Linguistics in Eberhard Karls Universität in Tübingen, Germany. Learn more about his work here.
You can find the JudiLing package here. Or read more about Julia here. Julia is a high-level, dynamic programming language built for technical computing.
Resources
Slides and recordings will be uploaded on this page.