This article introduces the VISTA-SL project, which aims to create an integrated e-learning platform for four European sign languages: German Sign Language, Greek Sign Language, Irish Sign Language, and Dutch Sign Language. Designed as a complement to face-to-face classes, the VISTA-SL platform will combine expertise in sign language education and education technologies to provide an adaptive and interactive learning environment suitable for deaf, hard of hearing and hearing users seeking to learn a sign language, whether it constitutes their first language or not. Building on a co-ordinated curriculum that covers vocabulary, grammar and Deaf culture materials, the platform will provide video material presented by deaf L1 signers, together with games and gamification features to motivate learning, while also providing several assistive technologies. By leveraging cutting edge language processing and computer vision approaches, the platform will provide augmented reality feedback, 3D avatars and an LLM-based virtual instructor, as part of the learning environment. VISTA-SL is developed in collaboration with end-user focus groups, comprising deaf, hard of hearing and hearing individuals. This will serve to ensure that the educational platform aligns with the expectations and needs of its intended users.

Social media has become a powerful tool for research projects, community outreach, science communication, and to recruit participants. Due to its differences to traditional media and presentation modes, it provides a particular focus on producing very concise content that is entertaining and accessible while staying informative. In this paper, we describe how the long-term project DGS-Korpus, creators of a corpus and dictionary of German Sign Language, evolved its outreach strategies over time. One unique aspect of its unusually long project run-time of nineteen years is that it has involved several cases of multiple family members participating in the project at different points in time, resulting in cross-generational participation. The paper describes how the project’s social media campaign uses these cross-generational connections to illustrate important aspects of the project, such as its relevance for cultural heritage and language identity, the different ways that members of the German deaf community were and are involved in the project, and its relevance to interpersonal connections.

For publishing sign language corpus data on the web, anonymization is crucial even if it is impossible to hide the visual appearance of the signers: In a small community, even vague references to third persons may be enough to identify those persons. In the case of the DGS Korpus (German Sign Language corpus) project, we want to publish data as a contribution to the cultural heritage of the sign language community while annotation of the data is still ongoing. This poses the question how well anonymization can be achieved given that no full linguistic analysis of the data is available. Basically, we combine analysis of all data that we have, including named entity recognition on translations into German. For this, we use the WebLicht language technology infrastructure. We report on the reliability of these methods in this special context and also illustrate how the anonymization of the video data is technically achieved in order to minimally disturb the viewer.