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Showing 1 to 15 of 185 results Save | Export
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Militina Gomozova; Valeriia Lezzhova; Olga Dragoy; Anastasiya Lopukhina – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Previously, Lancaster and Camarata (2019) showed that the continuum/spectrum model of the developmental language disorder (DLD) best explained the high heterogeneity of symptoms in children with DLD. We hypothesize that the continuum/spectrum approach can include not only children with DLD but also typically developing (TD) children with…
Descriptors: Russian, Developmental Disabilities, Language Impairments, Language Acquisition
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Casillas, Marisa – Child Development Perspectives, 2023
In this article, I advocate for an enriched view of children's linguistic input, with the aim of building sustainable and tangible links between theoretical models of language development and families' everyday experiences. Children's language experiences constrain theoretical models in ways that may illuminate universal learning biases. However,…
Descriptors: Child Language, Linguistic Input, Language Acquisition, Context Effect
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Duta, Mihaela; Plunkett, Kim – Child Development, 2023
We present a neural network model of referent identification in a visual world task. Inputs are visual representations of item pairs unfolding with sequences of phonemes identifying the target item. The model is trained to output the semantic representation of the target and to suppress the distractor. The training set uses a 200-word lexicon…
Descriptors: Networks, Models, Brain, Child Language
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Julian M. Pine; Daniel Freudenthal; Fernand Gobet – Journal of Child Language, 2023
Verb-marking errors are a characteristic feature of the speech of typically-developing (TD) children and are particularly prevalent in the speech of children with Developmental Language Disorder (DLD). However, both the pattern of verb-marking error in TD children and the pattern of verb-marking deficit in DLD vary across languages and interact…
Descriptors: Developmental Disabilities, Language Impairments, Verbs, Error Patterns
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Lisa Pearl – Journal of Child Language, 2023
Computational cognitive modeling is a tool we can use to evaluate theories of syntactic acquisition. Here, I review several models implementing theories that integrate information from both linguistic and non-linguistic sources to learn different types of syntactic knowledge. Some of these models additionally consider the impact of factors coming…
Descriptors: Computation, Cognitive Processes, Models, Syntax
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Natalie S. Pak; Tatiana Nogueira Peredo; Ana Paula Madero Ucero; Ann P. Kaiser – Journal of Autism and Developmental Disorders, 2025
The primary purpose of the current pilot study was to test the effects of an adapted and collaborative intervention model with a systematic teaching approach on Latina Spanish-speaking caregivers' use of "EMT en Español Para Autismo" strategies with their young children on the autism spectrum. A multiple baseline across behaviors single…
Descriptors: Hispanic Americans, Child Caregivers, Caregiver Child Relationship, Language Acquisition
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Andrew M. Meier; Frank H. Guenther – Journal of Child Language, 2023
This review describes a computational approach for modeling the development of speech motor control in infants. We address the development of two levels of control: articulation of individual speech sounds (defined here as phonemes, syllables, or words for which there is an optimized motor program) and production of sound sequences such as phrases…
Descriptors: Brain, Cognitive Processes, Computation, Models
Qihui Xu – ProQuest LLC, 2022
How early do children produce multiword utterances? Do children's early utterances reflect abstract syntactic knowledge or are they the result of data-driven learning? We examine this issue through corpus analysis, computational modeling, and adult simulation experiments. Chapter 1 investigates when children start producing multiword utterances;…
Descriptors: Language Acquisition, Speech Communication, Computational Linguistics, Syntax
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Roete, Ingeborg; Frank, Stefan L.; Fikkert, Paula; Casillas, Marisa – Cognitive Science, 2020
We trained a computational model (the Chunk-Based Learner; CBL) on a longitudinal corpus of child-caregiver interactions in English to test whether one proposed statistical learning mechanism--backward transitional probability--is able to predict children's speech productions with stable accuracy throughout the first few years of development. We…
Descriptors: Statistics, Linguistic Input, Children, Speech Communication
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Hartshorne, Joshua K. – First Language, 2020
Ambridge argues that the existence of exemplar models for individual phenomena (words, inflection rules, etc.) suggests the feasibility of a unified, exemplars-everywhere model that eschews abstraction. The argument would be strengthened by a description of such a model. However, none is provided. I show that any attempt to do so would immediately…
Descriptors: Models, Language Acquisition, Language Processing, Bayesian Statistics
Janet Grauberg – Sutton Trust, 2024
The Coaching Early Conversation Interaction and Language (CECIL) Project, which started in September 2020, has focused on exploring coaching-led approaches to support the effective implementation of early language interventions, especially in Private, Voluntary & Independent (PVI) settings. At the core of the CECIL approach is a way of…
Descriptors: Coaching (Performance), Foreign Countries, Early Childhood Education, Language Skills
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Schuler, Kathryn D.; Kodner, Jordan; Caplan, Spencer – First Language, 2020
In 'Against Stored Abstractions,' Ambridge uses neural and computational evidence to make his case against abstract representations. He argues that storing only exemplars is more parsimonious -- why bother with abstraction when exemplar models with on-the-fly calculation can do everything abstracting models can and more -- and implies that his…
Descriptors: Language Processing, Language Acquisition, Computational Linguistics, Linguistic Theory
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Kallay, Jeffrey E.; Dilley, Laura; Redford, Melissa A. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: This study used a cross-sequential design to identify developmental changes in narrative speech rhythm and intonation. The aim was to provide a robust, clinically relevant characterization of normative changes in speech prosody across the early school-age years. Method: Structured spontaneous narratives were elicited annually from 60…
Descriptors: Intonation, Child Language, Longitudinal Studies, Child Development
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Knabe, Melina L.; Vlach, Haley A. – First Language, 2020
Ambridge argues that there is widespread agreement among child language researchers that learners store linguistic abstractions. In this commentary the authors first argue that this assumption is incorrect; anti-representationalist/exemplar views are pervasive in theories of child language. Next, the authors outline what has been learned from this…
Descriptors: Child Language, Children, Language Acquisition, Models
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Ambridge, Ben; Blything, Ryan P. – Journal of Child Language, 2016
A central question in language acquisition is how children build linguistic representations that allow them to generalize verbs from one construction to another (e.g., "The boy gave a present to the girl" ? "The boy gave the girl a present"), whilst appropriately constraining those generalizations to avoid non-adultlike errors…
Descriptors: Child Language, Language Acquisition, Verbs, Generalization
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