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Related Experiment Video

Updated: May 28, 2026

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

Published on: September 5, 2019

Expectations from preceding prosody influence segmentation in online sentence processing.

Meredith Brown¹, Anne Pier Salverda, Laura C Dilley

¹Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY 14627-0268, USA. mbrown@bcs.rochester.edu

Psychonomic Bulletin & Review

|October 5, 2011

Summary

This summary is machine-generated.

Prosody influences spoken word recognition. Expectations from sentence-level prosody guide listeners to anticipate upcoming words, affecting how they segment and identify speech.

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Published on: May 9, 2019

Area of Science:

Psycholinguistics
Speech Perception
Cognitive Science

Background:

Online spoken-word recognition research often focuses on local prosodic cues.
Emerging evidence suggests utterance-level prosody impacts interpretation of lexically ambiguous syllables.

Purpose of the Study:

To test if distal prosody effects arise from expectations about upcoming linguistic material organization.
Investigate the role of utterance-level prosodic patterns in lexical segmentation and word recognition.

Main Methods:

A visual-world experiment was employed.
Participants heard target words (e.g., panda) within manipulated prosodic contexts.
Eye-fixations to competing word alternatives (e.g., pan, panda) were tracked.

Main Results:

Higher fixations to the monosyllabic competitor (pan) occurred 200 ms after target onset.
This effect was observed when preceding prosody supported a constituent boundary after 'pan-'.
Conversely, prosody supporting a boundary after 'panda' led to fewer 'pan' fixations.

Conclusions:

Findings support the hypothesis that prosodic patterns in distal context generate expectations.
These expectations influence lexical segmentation and word recognition processes.
Utterance-level prosody plays a crucial role in real-time speech processing.