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This paper examines the current state-of-the-art of German textsimplification, focusing on parallel and monolingual German corpora. It reviewsneural language models for simplifying German texts and assesses theirsuitability for legal texts and accessibility requirements. Our findingshighlight the need for additional training data and more appropriate approachesthat consider the specific linguistic characteristics of German, as well as theimportance of the needs and preferences of target groups with cognitive orlanguage impairments. The authors launched the interdisciplinary OPEN-LSproject in April 2023 to address these research gaps. The project aims todevelop a framework for text formats tailored to individuals with low literacylevels, integrate legal texts, and enhance comprehensibility for those withlinguistic or cognitive impairments. It will also explore cost-effective waysto enhance the data with audience-specific illustrations using image-generatingAI.  For more and up-to-date information, please visit our project homepagehttps://open-ls.entavis.com

Data and Approaches for German Text simplification -- towards an Accessibility-enhanced Communication