ArticleBehavior research methods2026
Munich Sentence (MuSe) Database: Completion norms and audio recordings for 619 German sentences.
Article in Behavior research methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
- Altered semantic prediction error processing with increasing schizotypal and autistic traits.Translational psychiatry · 2026Article
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3 authors.
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Abstract
Prediction is a core feature of language, which is widely studied across research domains. The Munich Sentence (MuSe) database enhances reproducibility by providing sentence completion norms for 619 German sentences, including cloze probabilities and entropy estimates from up to 232 participants. Sentence completions were collected in two online studies in which participants completed sentence beginnings with a single-word response after either hearing (auditory sample, N = 133) or reading (visual sample, N = 98) the sentence beginning. All responses were manually preprocessed to correct typos and spelling mistakes and to label grammatical errors, proper nouns, and singular and plural variants of the same response. In addition to the sentence norms, we provide trial-level data with participant-level demographic information and subclinical autistic and schizotypal trait measures. Together with open-access R scripts or our web tool, this allows tailoring the cleaning and norming steps to integrate individual-difference measures. For a subset of 479 sentence beginnings, the database also includes professional audio recordings of sentence beginnings, which can be flexibly combined with 531 recordings of unique sentence-final words and implemented in auditory language paradigms. All material is freely accessible via the Open Science Framework ( https://osf.io/ktnze/overview ) and the MuSe webtool ( https://munichsentencedatabase.franziskaknolle.com/ ).
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