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Target Complexity Modulates Syntactic Priming During Comprehension.

Samar Husain1, Himanshu Yadav2

  • 1Department of Humanities and Social Sciences, Indian Institute of Technology Delhi, New Delhi, India.

Frontiers in Psychology
|April 8, 2020
PubMed
Summary
This summary is machine-generated.

Syntactic priming aids sentence comprehension when structures align. However, this effect weakens if the prime structure is unlikely given the target sentence

Keywords:
HindiSOV languagesentence comprehensionsyntactic primingtop-down parsing

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Area of Science:

  • Psycholinguistics
  • Computational Linguistics
  • Cognitive Science

Background:

  • Syntactic priming facilitates sentence comprehension when target structures match prime structures.
  • Processing facilitation is influenced by factors like lexical overlap and structure frequency.
  • Syntactic priming in Subject-Object-Verb (SOV) languages is influenced by similar constraints and involves incremental, predictive processing.

Purpose of the Study:

  • To investigate how the probability of a prime structure affects syntactic priming during sentence comprehension in SOV languages.
  • To examine the role of sentential cues, such as preverbal case-markers, in modulating syntactic priming.
  • To demonstrate the influence of structural complexity and parser preferences on syntactic priming.

Main Methods:

  • Analysis of syntactic priming effects during sentence comprehension in SOV languages.
  • Evaluation of the impact of prime structure probability on target sentence parsing.
  • Examination of the role of linguistic cues (e.g., case-markers) in guiding syntactic processing.

Main Results:

  • Syntactic priming during comprehension is significantly affected by the probability of using the prime structure for the target sentence.
  • Low probability of a prime structure, given target sentence cues, reduces the likelihood of structure persistence.
  • The study demonstrates that syntactic priming is modulated by a parser's preference to avoid rare structures.

Conclusions:

  • Syntactic priming is not solely dependent on structural alignment but is also influenced by the probabilistic nature of language processing.
  • The parser's preference to avoid rare structures plays a crucial role in modulating syntactic priming.
  • Understanding these probabilistic constraints is key to comprehending syntactic priming mechanisms in SOV languages.