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Related Concept Videos

Language Development01:22

Language Development

317
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...
317
Language and Cognition01:27

Language and Cognition

321
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.
321
Learning Disabilities01:25

Learning Disabilities

84
Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
Dyslexia
Dyslexia is a...
84

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Related Experiment Video

Updated: Jun 3, 2025

Portable Intermodal Preferential Looking IPL: Investigating Language Comprehension in Typically Developing Toddlers and Young Children with Autism
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Early Identification of Language Disorders Using Natural Language Processing and Machine Learning: Challenges and

Jessica M Lammert1, Angela C Roberts2,3, Ken McRae4,5

  • 1Graduate Program in Psychology, University of Western Ontario, London, Canada.

Journal of Speech, Language, and Hearing Research : JSLHR
|January 9, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) offers automated analysis of narrative language for improved efficiency and accessibility in diagnosing and treating childhood language disorders. This technology aids in identifying developmental language disorder and analyzing child language samples.

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Area of Science:

  • Computational Linguistics
  • Developmental Psychology
  • Artificial Intelligence in Healthcare

Background:

  • Traditional language sample analysis faces clinical barriers, hindering efficient assessment.
  • Narrative language sampling provides rich data but requires extensive manual processing.
  • Automated methods are emerging to overcome these limitations in child language analysis.

Purpose of the Study:

  • To review computerized approaches for analyzing narrative language in children.
  • To explore the identification of language disorders using AI and machine learning.
  • To highlight the potential of automated tools for improving language assessment efficiency and accessibility.

Main Methods:

  • Review of recent studies on natural language processing (NLP) and machine learning (ML) for linguistic feature extraction.
  • Explanation of how AI tools operate in analyzing child language samples.
  • Discussion of the impact of design decisions on the performance of these automated tools.

Main Results:

  • Automated extraction of linguistic features is demonstrated through NLP and ML.
  • Identification of developmental language disorder is achievable using these advanced computational techniques.
  • AI tools show promise in analyzing complex features of child language samples.

Conclusions:

  • Computer-automated approaches represent a significant advancement in language sample analysis.
  • These methods offer enhanced efficiency and accessibility for diagnosing and treating childhood language disorders.
  • Addressing challenges like bias, access, and generalizability is crucial for widespread adoption.