Analyzing Sign Language Data
Date: 10 – 14 August 2020

This course is aimed at students and early career researchers who have already had some experience working with sign language data, but wish to learn new methods for working efficiently with their data in a systematic way.
For this course, we will have three main learning objectives:
data extraction: how we can access data, manually and automatically, from a variety of sign language resources (e.g., video dictionaries, annotation files, corpus collections);
data analysis: how we can process our extracted data (data wrangling) and apply further analyses, such as statistical tests;
visualization: how we can output our processed data in a visual way, by presenting it in a graphical format such as statistical plots/graphs.

The course is mainly targeted towards PhD students and early career researchers who are familiar with sign language data in both raw and annotated formats, but wish to get familiar with the basics of programming and statistical methods for working with that data. There are no requirements on previous experience with programming, but those who already possess some basic programming skills would still be able to benefit from this course.
Practical exercises will be available on different levels of difficulty, allowing you to choose from exercises that fit your experience and proficiency. The course also encourages students to bring their own data and questions, which will enable you to work directly on solving problems and addressing research questions that you yourself have.

The course will be taught in international sign by a deaf instructor and one or more deaf or hearing teaching assistants.
In order to participate in the course, you need not be completely fluent in international sign, but fluency in a sign language and some experience with international interactions will be required.

Course Leader
Dr. Carl Börstell

More information:
https://www.ru.nl/radboudsummerschool/courses/2020/analyzing-sign-language-data/

Early bird deadline: 1 March 2020
Application deadline: 1 June 2020