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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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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.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
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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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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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Concepts and Prototypes01:24

Concepts and Prototypes

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The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
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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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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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Human Information Processing Shapes Language Change.

Maryia Fedzechkina1,2,3, Becky Chu4, T Florian Jaeger4,5,6

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Human information processing biases shape language by favoring shorter grammatical dependencies. Learners of new languages restructure input to minimize dependency length, demonstrating a causal link between processing and linguistic diversity.

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Area of Science:

  • Psycholinguistics
  • Cognitive Science
  • Linguistic Diversity

Background:

  • Human languages display both diversity and commonalities.
  • Universal principles of human information processing may shape these commonalities.
  • Previous research suggests word order variations across languages minimize grammatical dependency length.

Purpose of the Study:

  • To directly test the causal link between human information processing biases and linguistic patterns.
  • To investigate whether learners restructure artificial languages to reduce dependency lengths.

Main Methods:

  • Learners were exposed to novel miniature artificial languages.
  • These languages featured unnecessarily long grammatical dependencies.
  • Learners' restructuring of the input was systematically analyzed.

Main Results:

  • Learners did not adhere to the surface word-order preferences of their native languages.
  • Learners actively restructured the artificial languages to shorten dependency lengths.
  • This restructuring indicates a preference for reduced processing load.

Conclusions:

  • Provides direct evidence for a causal relationship between individual processing preferences and language structure.
  • Suggests that cognitive biases play a crucial role in shaping linguistic diversity.
  • Highlights the adaptive nature of language learning in response to processing constraints.