SAGA

The Sign and Gesture Archive (SAGA) is a video data library for gesture, sign and spoken language data. It includes video files, coding files, annotations and related metadata.
40 Years of Research
11756 Video Files
4740 Annotation Files
585 Subjects

Welcome to the Sign and Gesture Archive (SAGA), an archive that brings together research data from many different scholars working on sign languages and gesture in one place. The goals of SAGA are to protect data and store it responsibly for future use, to catalogue it, and to make it available to approved linguists, psychologists and other researchers for their projects.

These data may include videos only, or in many cases videos and the annotations for them: in some cases sign language glosses, descriptions of linguistic features, or other important properties. You can find the data that fits with your research.

We have already started with several large sets of data, and we will continue to expand SAGA as time progresses. All of the data are accompanied by varying levels of information about the sources of the data, such as demographic information about the participants, age, country, language, etc. You can find out more about these data sets on the link "About".

In order to access data, researchers need to be approved by our Advisory Board. To find out more information, the link "Guides and Resources" elaborates on the process.

Resources for Researchers

SAGA provides several methods via which users can explore the data in the Archive; click on the buttons below to learn more about how to search, the additional resources we've made available to researchers, and how to get personalized help for using the site and the data.

How to Search

Guides & Resources

Support & Contact

Research Methodologies

Materials for Research into Sign Languages, Homesign and Gesture

SAGA contains data collected over a period spanning more than four decades, and features both annotated videos and the source materials used by the researchers in the sessions. These original coding manuals and stimuli packages make it possible for today's scholars of sign language, homesign and gesture to create their own archives, then compare their findings with previous research and share their work with a global audience.