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Related Experiment Video

Updated: Jun 24, 2026

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese

Published on: April 1, 2016

Syllable timing and pausing: evidence from Cantonese.

Conrad Perry¹, Richard Kwok-Shing Wong, Stephen Matthews

¹Swinburne University of Technology, School of Life and Social Sciences (Psychology), Internal Mail H31, John Street, Hawthorn, 3122, Victoria, Australia. conradperry@gmail.com

Language and Speech

|April 2, 2009

Summary

In Cantonese, syllable duration and silent pauses at syntactic breaks are linked. Longer syllables are less likely to have pauses, suggesting timing accuracy influences pause use across languages.

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Area of Science:

Linguistics
Phonetics
Psycholinguistics

Background:

Understanding prosodic cues in speech is crucial for deciphering language structure.
The interplay between syllable duration and silent pauses in tonal languages like Cantonese requires further investigation.

Purpose of the Study:

To investigate the relationship between the acoustic duration of syllables and subsequent silent pauses in Cantonese.
To explore how syllable timing influences the use of silent pauses at major syntactic junctures.

Main Methods:

Analysis of acoustic and silent pause durations for various Cantonese syllable types.
Comparison of total pause-plus-syllable durations across different syllable structures at syntactic boundaries.

Main Results:

At major syntactic junctures, the combined duration of acoustic syllables and silent pauses remained relatively constant despite significant variations in acoustic syllable duration.
Cantonese CV: syllables, characterized by the longest acoustic durations, exhibited the lowest probability of being followed by silent pauses.

Conclusions:

The findings suggest that the predictability of syllable timing slots may explain cross-language variations in silent pause usage at syntactic junctures.
This challenges more complex explanations and highlights the role of precise temporal organization in speech segmentation.