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Non-adjacent Dependency Learning in Humans and Other Animals.

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Topics in Cognitive Science
|July 31, 2020
PubMed
Summary

Humans, infants, and animals can learn nonadjacent dependencies in language, but this is cognitively demanding. Perceptual cues can facilitate this learning, offering insights into language evolution and development.

Keywords:
Artificial grammarHumanInfantNon-adjacent dependencyNonhuman animalPrimateStructured sequence processing

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Area of Science:

  • Cognitive Science
  • Linguistics
  • Developmental Psychology
  • Animal Behavior

Background:

  • Natural language processing relies on understanding syntactic relationships, even when words are separated.
  • Nonadjacent dependencies in language are crucial for comprehension but pose cognitive challenges.

Purpose of the Study:

  • To review different types of nonadjacent dependencies in language and artificial grammar learning.
  • To explore factors influencing the learning of these dependencies.
  • To examine insights from human and nonhuman animal studies on language acquisition and evolution.

Main Methods:

  • Review of artificial grammar learning paradigms.
  • Analysis of structured sequence processing tasks.
  • Comparative study of learning abilities across human adults, infants, and nonhuman animals.

Main Results:

  • Nonadjacent dependency learning is possible across various species but is cognitively demanding.
  • Perceptual cues (physical, attentional, perceptual proximity) significantly facilitate learning.
  • Similarities and differences in learning highlight developmental and evolutionary aspects of language ability.

Conclusions:

  • Understanding nonadjacent dependencies is key to natural language processing.
  • Cognitive load and perceptual facilitation are critical factors in learning these dependencies.
  • Cross-species and developmental comparisons offer valuable insights into language evolution and acquisition.