To what extent do pragmatic cues from disfluencies inform our predictions of spoken language during naturalistic language processing?

Eleanor Huizeling¹, Phillip M Alday², David Peeters³, Peter Hagoort⁴

¹Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands. Electronic address: eleanor.huizeling@mpi.nl.

²Beacon Biosignals Inc., Boston, United States.

³Department of Communication and Cognition, TiCC, Tilburg University, Tilburg, the Netherlands.

⁴Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands.

PubMed DOI

Abstract

Language processing is facilitated by the prediction of upcoming linguistic content. Natural speech is full of disfluencies that have potential predictive power for the listener. The extent to which different pragmatic cues, such as disfluencies, are integrated with semantic context to inform predictions is, however, currently unknown. Here we combine electroencephalography (EEG), eye tracking and…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.