Making Sign Language Research Findable: The sign-lang@LREC Anthology and the Sign Language Dataset Compendium

Publikation
In Proceedings of the 5th Conference on Language, Data and Knowledge (LDK 2025)
Diese Publikation ist nur auf Englisch verfügbar.

Zusammenfassung

Resources and research on sign languages are sparse and can often be difficult to locate. Few centralised sources of information exist. This article presents two repositories that aim to improve the findability of such information through the implementation of open science best practices. The sign-lang@LREC Anthology is a repository of publications on sign languages in the series of sign-lang@LREC workshops and related events, enhanced with indices cataloguing what datasets, tools, languages and projects are addressed by these publications. The Sign Language Dataset Compendium provides an overview of existing linguistic corpora, lexical resources and data collection tasks. We describe the evolution of these repositories, covering topics such as supplementary information structures, rich metadata, interoperability, and dealing with the challenges of reference rot.

Marc Schulder
Marc Schulder
Wissenschaftlicher Mitarbeiter für Computerlinguistik

Meine Forschungsinteressen umfassen Gebärdensprachen, Computerlinguistik und Open Science.