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Related Experiment Video

Updated: Jun 3, 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

Interference between sentence processing and probabilistic implicit sequence learning.

Dezso Nemeth1, Karolina Janacsek, Gabor Csifcsak

  • 1Institute of Psychology, University of Szeged, Szeged, Hungary. nemethd@edpsy.u-szeged.hu

Plos One
|March 17, 2011
PubMed
Summary
This summary is machine-generated.

Sentence processing engages domain-general procedural learning mechanisms, suggesting language and sequence learning share underlying cognitive resources. This bridges domain-specific and domain-general theories of language acquisition.

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Last Updated: Jun 3, 2026

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

Published on: September 5, 2019

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
10:39

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

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Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies
05:22

Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies

Published on: May 9, 2019

Area of Science:

  • Cognitive Science
  • Neuroscience
  • Psycholinguistics

Background:

  • Sentence processing involves decoding word sequences using learned rules, with ongoing debate about underlying mechanisms.
  • A key question is whether sentence processing is exclusively language-specific or also governed by domain-general principles.

Purpose of the Study:

  • To investigate the relationship between sentence processing and implicit sequence learning.
  • To determine if sentence processing relies on domain-general or language-specific mechanisms.

Main Methods:

  • A dual-task paradigm was employed, with a primary non-linguistic sequence learning task (Alternating Serial Reaction Time Task) and a secondary sentence comprehension task.
  • Control conditions included a non-linguistic math task and a linguistic word processing task.

Main Results:

  • Sentence processing significantly interfered with probabilistic implicit sequence learning.
  • Control tasks (math and word processing) did not produce similar interference effects.

Conclusions:

  • Sentence processing utilizes resources common to non-domain-specific probabilistic procedural learning.
  • Findings suggest procedural and statistical models of language processing are not mutually exclusive, particularly for sentence comprehension.
  • The implicit procedural system is engaged in sentence processing, potentially operating via statistical computations.