14 August 2020
on course website
Analizing Sign Language Data
Taught by a deaf signing teacher, this course teaches you methods in data handling and analysis – specifically ELAN, Python, and R – which can be applied to a wide range of research topics.
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
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.
Dr. Carl Börstell
Language & Communication
The course targets signing students at MA or PhD level, as well as other early career researchers, who want to gain practical skills in the processing and analysis of sign language data.
The course is a hands-on experience that will not only provide you with practical skills but also extend your international research network.
After this course you are able to:
1. Extract data from ELAN annotation files for external processing.
2. Statistically test and plot with R.
You will know:
1. Introductory Python programming and how it can be used to extract and process sign language data.
2. Introductory R programming and how it can be used to process and analyze sign language data.
EUR 430: The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.
We offer several reduced fees:
€ 387 early bird discount- deadline 1 March 2020 (10%)
€ 367 partner + RU discount (15%)
€ 323 early bird + partner + RU discount (25%)
on course website