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  1. Uncovering the Structure of Semantic Representations Using a Computational Model of Decision‐Making.Sonia Ramotowska, Shane Steinert-Threlkeld, Leendert van Maanen & Jakub Szymanik - 2023 - Cognitive Science 47 (1):e13234.
    According to logical theories of meaning, a meaning of an expression can be formalized and encoded in truth conditions. Vagueness of the language and individual differences between people are a challenge to incorporate into the meaning representations. In this paper, we propose a new approach to study truth-conditional representations of vague concepts. For a case study, we selected two natural language quantifiers most and more than half. We conducted two online experiments, each with 90 native English speakers. In the first (...)
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  • Gricean Expectations in Online Sentence Comprehension: An ERP Study on the Processing of Scalar Inferences.Petra Augurzky, Michael Franke & Rolf Ulrich - 2019 - Cognitive Science 43 (8):e12776.
    There is substantial support for the general idea that a formalization of comprehenders' expectations about the likely next word in a sentence helps explaining data related to online sentence processing. While much research has focused on syntactic, semantic, and discourse expectations, the present event‐related potentials (ERPs) study investigates neurolinguistic correlates of pragmatic expectations, which arise when comprehenders expect a sentence to conform to Gricean Maxims of Conversation. For predicting brain responses associated with pragmatic processing, we introduce a formal model of (...)
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  • Context and Complexity in Incremental Sentence Interpretation: An ERP Study on Temporal Quantification.Petra Augurzky, Vera Hohaus & Rolf Ulrich - 2020 - Cognitive Science 44 (11):e12913.
    The present event‐related potential (ERP) study used picture–sentence verification to investigate the neurolinguistic correlates of the online processing of compositional‐semantic information. To this end, we examined context effects on sentences involving temporal adverbial quantification likeJana war jeden Morgen schwimmen an den Arbeitstagen (“Jana went for a swim every morning during the working week”). We tested whether the conceptual complexity associated with quantifying over time intervals leads to delayed predictions regarding the upcoming words in a sentence. The present study replicated previous (...)
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