AIMC Topic: Child Language

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A Tunable Forced Alignment System Based on Deep Learning: Applications to Child Speech.

Journal of speech, language, and hearing research : JSLHR Mar 31, 2025
PURPOSE: Phonetic forced alignment has a multitude of applications in automated analysis of speech, particularly in studying nonstandard speech such as children's speech. Manual alignment is tedious but serves as the gold standard for clinical-grade ...
Male Deep Learning Speech Humans Female Phonetics Speech Production Measurement Child Language Child, Preschool Child
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How the input shapes the acquisition of verb morphology: Elicited production and computational modelling in two highly inflected languages.

Cognitive psychology Feb 18, 2019
The aim of the present work was to develop a computational model of how children acquire inflectional morphology for marking person and number; one of the central challenges in language development. First, in order to establish which putative learnin...
Poland Child, Preschool Female Male Linguistics Child Language Child Finland Humans Computer Simulation Learning Neural Networks, Computer
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Clinical Application of Large Language Models for Intervention Plan Development in Speech-Language Pathology.

American journal of speech-language pathology Jul 10, 2025
PURPOSE: This study investigates the speech and language intervention plan outputs generated by six different artificial intelligence (AI) tools powered by large language models (LLMs), currently available for clinical writing in the field of speech-...
Humans Speech-Language Pathology Artificial Intelligence Male Large Language Models Child, Preschool Female Language Disorders Child Language Speech Disorders
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Predicting Language Difficulties in Middle Childhood From Early Developmental Milestones: A Comparison of Traditional Regression and Machine Learning Techniques.

Journal of speech, language, and hearing research : JSLHR Aug 8, 2018
PURPOSE: The current study aimed to compare traditional logistic regression models with machine learning algorithms to investigate the predictive ability of (a) communication performance at 3 years old on language outcomes at 10 years old and (b) bro...
Language Development Disorders Language Tests Child Language Logistic Models Predictive Value of Tests Algorithms Child, Preschool Female Humans Male Child Machine Learning
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A Sibling-Mediated Intervention for Children with Autism Spectrum Disorder: Using the Natural Language Paradigm (NLP).

Journal of autism and developmental disorders May 1, 2018
We taught three typically developing siblings to occasion speech by implementing the Natural Language Paradigm (NLP) with their brothers with autism spectrum disorder (ASD). A non-concurrent multiple baseline design across children with ASD and sibli...
Follow-Up Studies Natural Language Processing Photic Stimulation Siblings Attention Child Language Humans Peer Group Autism Spectrum Disorder Speech Female Child Male
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Preschool television programmes: analysis using SmartSound IQ data logging.

Cochlear implants international Jan 1, 2015
Auditory Perception Child Language Child, Preschool Deafness Television Communication Correction of Hearing Impairment Parents Cochlear Implants England Parent-Child Relations Consumer Behavior Natural Language Processing Humans Program Evaluation Learning
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