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Related Experiment Video

Updated: Oct 4, 2025

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
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PIPS: A Parallel Planning Model of Sentence Production.

Laurel Brehm1, Pyeong Whan Cho2, Paul Smolensky3,4

  • 1Max Planck Institute for Psycholinguistics.

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|February 5, 2022
PubMed
Summary
This summary is machine-generated.

Subject-verb agreement errors are common. Reanalyzing data reveals that sentence production tasks also cause errors in repeating sentence beginnings, especially with noun number. This challenges existing models of language production.

Keywords:
Agreement productionGradient symbolic computationSentence productionSymbolic connectionist modeling

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Area of Science:

  • Psycholinguistics
  • Computational Linguistics
  • Cognitive Science

Background:

  • Subject-verb agreement errors are frequent in sentence production.
  • Previous research often used preamble completion tasks to study verb errors.

Purpose of the Study:

  • To re-examine data from preamble completion tasks to identify other error types.
  • To investigate the mechanisms underlying both verb agreement and preamble repetition errors.
  • To test the Parallelism in Producing Syntax (PIPS) model's ability to explain these errors.

Main Methods:

  • Reanalysis of data from 50 experiments comprising 102,369 observations.
  • Exploration of the Parallelism in Producing Syntax (PIPS) model, a continuous-state stochastic dynamical system.
  • Simulations of the preamble completion task using the PIPS model.

Main Results:

  • The preamble completion paradigm elicits significant errors in repeating the sentence preamble, specifically in local noun number.
  • Errors arise from partially activated non-target syntactic parses due to memory constraints and competing grammatical information.
  • The PIPS model successfully simulates these errors, accounting for notional agreement and structural number conflicts.

Conclusions:

  • Sentence production is susceptible to errors beyond verb agreement, including errors in repeating sentence constituents.
  • Finite memory and prior experience in language processing lead to interference from non-target production plans.
  • The PIPS model provides a viable framework for understanding the cognitive mechanisms underlying sentence production errors.