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A Comprehensive Examination of Prediction-Based Error as a Mechanism for Syntactic Development: Evidence From

Seamus Donnelly1,2,3, Caroline Rowland2,3,4, Franklin Chang3,5

  • 1School of Medicine and Psychology, The Australian National University.

Cognitive Science
|April 16, 2024
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Summary
This summary is machine-generated.

Prediction-based language acquisition models are supported by findings on abstract priming and the lexical boost in children. However, developmental effects on verb-structure biases suggest complex, structure-specific learning challenges.

Keywords:
Language acquisitionPrediction‐based learningSyntactic primingSyntax

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Area of Science:

  • Psycholinguistics
  • Developmental Psychology
  • Computational Linguistics

Background:

  • Prediction-based models offer explanations for language acquisition and processing.
  • Existing evidence on developmental predictions of these models is inconsistent.
  • Syntactic priming, specifically the English dative alternation, is a key area for testing these models.

Purpose of the Study:

  • To investigate developmental predictions of prediction-based language acquisition accounts.
  • To examine abstract priming, the lexical boost, and prime surprisal effects in children.
  • To analyze the role of age and verb-structure biases in syntactic priming.

Main Methods:

  • Two large-scale developmental studies were conducted: a cross-sectional study (N=140, ages 3-9) and a longitudinal study (N=102, ages 42-54 months).
  • Syntactic priming of the English dative alternation was analyzed.
  • Data were analyzed for abstract priming, lexical boost, prime surprisal effects, and age moderation.

Main Results:

  • Strong evidence for abstract priming and the lexical boost was found, with little age moderation in the cross-sectional study.
  • Exploratory analyses indicated a protracted developmental trajectory for verb-structure biases.
  • Longitudinal data showed early emergence of priming with verb overlap, but later emergence without it; no prime surprisal effect was observed.

Conclusions:

  • Emergence of abstract priming and lexical boost aligns with prediction-based models.
  • Absence of age-related effects suggests structure-specific learning challenges for the dative construction.
  • Developmental datasets are crucial for rigorously testing psycholinguistic theories.