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Analysis of spontaneous language can form part of the diagnosis of language development disorders in children. Unlike psychometric tests, language sample analyses can be repeated as often as desired. Thus, they prove to be an ideal instrument for recurrent assessment of children's language performance (Hönig and Nöth, 2017; Senn Baumgartner, 2022). The criterion-based evaluation of such samples is time-consuming. This is where computational linguistics can make a contribution (Voleti et al., 2020). In this way, assessments by professionals can be supported in areas of diagnostics in which standardized procedures are of limited informative value – such as in the context of multilingualism, older children and adolescents, or persons with cognitive impairments (Scharff Rethfeldt, 2020).