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Related Concept Videos

Language and Cognition01:27

Language and Cognition

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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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Language Development01:22

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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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.
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Language01:16

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Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
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Higher Mental Functions of the Brain: Language01:10

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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
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Brain lateralization refers to the division of mental processes and functions between the two hemispheres of the brain, a phenomenon that optimizes neural efficiency and underpins complex abilities in humans. This specialization allows each hemisphere to perform tasks where it has a comparative advantage, facilitating more refined cognitive capabilities across different domains.
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Related Experiment Video

Updated: Nov 3, 2025

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
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How individuals change language.

Richard A Blythe1, William Croft2

  • 1SUPA, School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom.

Plos One
|June 2, 2021
PubMed
Summary
This summary is machine-generated.

Mathematical models reveal how individual language use drives population-level language change. Lifespan learning and social networks are more plausible drivers than childhood errors, according to historical data analysis.

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Area of Science:

  • Linguistics
  • Computational Linguistics
  • Mathematical Biology

Background:

  • Language change occurs at the population level through individual speaker interactions.
  • Observing the precise mechanism of individual innovation leading to population-wide change is challenging.
  • Existing theoretical proposals for language change lack direct empirical validation.

Purpose of the Study:

  • To develop a general mathematical model for linguistic behaviors.
  • To predict population-level language changes resulting from individual actions.
  • To compare the plausibility of different language change hypotheses using historical data.

Main Methods:

  • Introduction of a generalized mathematical model for individual linguistic behaviors.
  • Statistical prediction of population-level changes based on the model.
  • Empirical comparison of model predictions against historical changes in definite and indefinite articles across multiple languages.

Main Results:

  • Childhood acquisition errors are weakly supported as primary drivers of language change.
  • Incremental linguistic change across an individual's lifespan is a more plausible factor.
  • Social network effects significantly enhance the plausibility of lifespan-based language change models.

Conclusions:

  • The developed mathematical model provides a framework for understanding language evolution.
  • Historical linguistic data favors theories emphasizing continuous learning and social influence over acquisition errors.
  • Future research can utilize this model to explore diverse linguistic phenomena and evolutionary pathways.