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Related Experiment Video

Updated: Jun 28, 2026

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
08:32

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

Published on: September 5, 2019

A probabilistic corpus-based model of syntactic parallelism.

Amit Dubey1, Frank Keller, Patrick Sturt

  • 1School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh EH89AB, UK. amit.dubey@ed.ac.uk

Cognition
|November 18, 2008
PubMed
Summary
This summary is machine-generated.

Syntactic priming, the tendency to repeat structures, explains the parallelism effect in language processing. This general mechanism, observed in corpora and models, is more effective than specialized coordination rules.

Related Experiment Videos

Last Updated: Jun 28, 2026

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
08:32

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

Published on: September 5, 2019

Area of Science:

  • Psycholinguistics
  • Computational Linguistics
  • Cognitive Science

Background:

  • Experimental psycholinguistics identified a parallelism effect where coordinate structures are processed more easily when conjuncts share syntactic structure.
  • This effect has been attributed to specialized processing mechanisms for coordination.

Purpose of the Study:

  • To investigate whether the parallelism effect is a specific instance of the broader phenomenon of syntactic priming.
  • To develop and test computational models of syntactic priming.
  • To determine if a general syntactic priming mechanism is sufficient to explain observed parallelism effects.

Main Methods:

  • Analysis of structural repetition tendencies in linguistic corpora.
  • Development of two probabilistic parsing models implementing syntactic priming mechanisms.
  • Testing model predictions against experimental data on NP parallelism in English and sentential parallelism in German.

Main Results:

  • Significant structural repetition was found in corpora, extending beyond coordination.
  • A general syntactic priming mechanism in a probabilistic parsing model successfully predicted experimental data.
  • The general priming mechanism outperformed a specialized coordination-only mechanism.

Conclusions:

  • The parallelism effect in coordinate structures is a manifestation of a general syntactic priming phenomenon.
  • A unified, general-purpose syntactic priming mechanism provides a more parsimonious explanation than specialized rules.
  • Computational models incorporating activation and decay dynamics (e.g., ACT-R) can effectively account for syntactic priming effects across different linguistic contexts.