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Related Concept Videos

Language and Cognition01:27

Language and Cognition

Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Constraints and Statical Determinacy

In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
Components of Language01:24

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Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs. “eh”). Phonemes combine to...
Language Development01:22

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Related Experiment Video

Updated: Jun 13, 2026

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
05:33

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

Published on: January 29, 2020

Sentence processing in an artificial language: Learning and using combinatorial constraints.

Michael S Amato1, Maryellen C MacDonald

  • 1Department of Psychology, University of Wisconsin-Madison, USA.

Cognition
|May 1, 2010
PubMed
Summary
This summary is machine-generated.

This study shows that people can learn and use complex language rules, even without realizing it. This implicit learning of artificial language constraints impacts real-time sentence processing.

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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

Related Experiment Videos

Last Updated: Jun 13, 2026

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
05:33

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning

Published on: January 29, 2020

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:

  • Cognitive Science
  • Psycholinguistics
  • Computational Linguistics

Background:

  • Understanding how humans learn and process language, particularly complex grammatical structures, is a key area in cognitive science.
  • Investigating implicit learning mechanisms is crucial for explaining language acquisition in both artificial and natural contexts.

Purpose of the Study:

  • To examine the learning and online processing of probabilistic, nonadjacent combinatorial constraints in an artificial language.
  • To determine if newly acquired linguistic constraints affect sentence comprehension even without explicit awareness.

Main Methods:

  • An artificial grammar learning paradigm was employed.
  • Participants engaged in self-paced reading of sentences generated from the artificial language.
  • Comprehension of sentences with nonadjacent combinatorial constraints was assessed.

Main Results:

  • Participants demonstrated sensitivity to nonadjacent combinatorial constraints during sentence processing.
  • This sensitivity was observed without explicit awareness of the underlying probabilities within the artificial language.
  • Newly learned constraints significantly influenced online sentence processing.

Conclusions:

  • Implicit learning of artificial language constraints can rapidly impact online sentence processing.
  • The findings support theories of implicit learning and its significant role in language acquisition.
  • This research highlights the brain's capacity for acquiring complex linguistic rules subconsciously.