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In the area of automatic processing of simplified language, the focus of our chair is on technologies that take into account the heterogeneity of the target groups. Linguistic and special education research has shown simplified language to be located on several levels of complexity (Kellermann, 2014). To date, this finding has found little attention in research on automatic text simplification (Kew and Ebling, 2022; Spring et al., 2021). Here, with multilingual machine translation models (Johnson et al., 2017), a conceptual model exists for how multiple language levels can be captured (Rios et al., 2021; Spring et al., 2022; Spring et al., 2023).