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Related Concept Videos

Language01:16

Language

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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.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
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Components of Language01:24

Components of Language

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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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Language Development01:22

Language Development

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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.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
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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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Random Error01:04

Random Error

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Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
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Random Variables01:09

Random Variables

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A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
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Related Experiment Video

Updated: Jan 26, 2026

Examining Bilingual Language Control Using the Stroop Task
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Random Language Model.

E DeGiuli1

  • 1Institut de Physique Théorique Philippe Meyer, École Normale Supérieure, PSL University, Sorbonne Universités, CNRS, 75005 Paris, France.

Physical Review Letters
|April 13, 2019
PubMed
Summary

Researchers explored random languages generated by weighted context-free grammars. They discovered a transition from random noise to organized structure as grammar weights broadened, indicating emergent deep structure driven by energy-entropy competition.

Area of Science:

  • Computational linguistics
  • Statistical physics
  • Complex systems

Background:

  • Generative systems often utilize languages for creating structured outputs.
  • Understanding the principles governing language organization is crucial for complex systems.

Purpose of the Study:

  • To investigate the emergence of structure in random languages.
  • To model language generation using weighted context-free grammars.
  • To identify the transition point from random to organized language phases.

Main Methods:

  • Utilized a model of random languages defined by weighted context-free grammars.
  • Analyzed the effect of broadening grammar weight distributions.
  • Observed the transition from a random phase (noise) to an organized phase (information-carrying).

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Main Results:

  • A clear transition was identified as grammar weight distributions broadened.
  • In the random phase, sentences were indistinguishable from noise.
  • In the organized phase, sentences carried nontrivial information, signifying emergent deep structure.

Conclusions:

  • The emergence of deep structure in languages can be modeled as a phase transition.
  • This transition is driven by a competition between energy and entropy.
  • Weighted context-free grammars provide a framework for understanding language organization in complex systems.