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Jessica M. Lammert; Angela C. Roberts; Ken McRae; Laura J. Batterink; Blake E. Butler – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Recent advances in artificial intelligence provide opportunities to capture and represent complex features of human language in a more automated manner, offering potential means of improving the efficiency of language assessment. This review article presents computerized approaches for the analysis of narrative language and identification…
Descriptors: Identification, Natural Language Processing, Artificial Intelligence, Barriers
Sulek, Rhylee; Smith, Jodie; Bent, Catherine Anne; Hudry, Kristelle; Trembath, David; Vivanti, Giacomo; Dissanayake, Cheryl – International Journal of Language & Communication Disorders, 2022
Background: There is growing understanding of the potential benefits of a multi-method approach to accurately capture language skills of children on the autism spectrum. Tools such as Language ENvironment Analysis (LENA) provide an efficient means of capturing and analysing early child vocalizations (CVs) and the language learning environment.…
Descriptors: Autism, Pervasive Developmental Disorders, Language Skills, Verbal Communication
Norah M. Almubark – ProQuest LLC, 2024
Narrative is the art of conveying a sequence of causally and temporally linked events through monologic telling. Various functions can be served through narratives including sharing experiences, expressing ideas, providing entertainment, and imparting cultural or social values. Narrative language represents an authentic type of language that is…
Descriptors: Narration, Oral Language, Augmentative and Alternative Communication, Intervention
Waine, Hannah; Bates, Sally; Frizelle, Pauline; Oh, Tomasina M. – International Journal of Language & Communication Disorders, 2023
Background: In 2016/17, the CATALISE Consortium published the results of a multinational and multidisciplinary Delphi consensus study, representing agreement among professionals about the definition and process of identification of children with Developmental Language Disorder (DLD) (Bishop et al., 2016, 2017). The extent to which the current…
Descriptors: Foreign Countries, Speech Language Pathology, Allied Health Personnel, Speech Therapy
Katrina Fulcher-Rood; Anny Castilla-Earls – Language, Speech, and Hearing Services in Schools, 2023
Purpose: The purpose of this study was to compare child language assessment practices of speech-language pathologists (SLPs) working in school and non-school settings to determine if their place of employment impacts the diagnostic decision-making process. Method: School-based SLPs (e.g., direct service providers employed in preschool and/or K-12…
Descriptors: Child Language, Speech Language Pathology, Language Tests, Allied Health Personnel
Stagg Peterson, Shelley; Friedrich, Nicola – International Journal of Early Years Education, 2022
We report on our analysis of talk during an assessment task where we asked children living in northern Canadian communities to draw and write about activities they share with family and friends in their daily lives. We introduce a language as context approach to assessing young children's (ages 4-6 years) literacy and sociocultural knowledge,…
Descriptors: Foreign Countries, Young Children, Freehand Drawing, Literacy
Murphy, Kimberly A.; Springle, Alisha P.; Sultani, Mollee J.; McIlraith, Autumn – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Analysis of narrative language samples is a recommended clinical practice in the assessment of children's language skills, but we know little about how results from such analyses relate to overall oral language ability across the early school years. We examined the relations between language sample metrics from a short narrative retell,…
Descriptors: Child Language, Oral Language, Language Skills, Story Telling
Dale, Brittany A.; Neild, Raschelle – Psychology in the Schools, 2020
With the increasing prevalence of autism spectrum disorder (ASD), clinicians and schools are receiving a larger number of assessment referrals for eligibility or diagnostic clarification of ASD in children who are deaf and hard of hearing (D/HH). Meeting this increasing demand is often difficult given not all assessment professionals seek…
Descriptors: Family Needs, Children, Deafness, Hearing Impairments
Fodor, Janet Dean – Language Acquisition: A Journal of Developmental Linguistics, 2017
An evaluation measure (EM) guides a learner's choice of grammar when more than one is compatible with available input. EM must be universal, so children receiving comparable input acquire comparable grammars. It must favor the choices children actually make. The theoretical shift from rule-based grammars to principles-and-parameter-based grammars…
Descriptors: Language Processing, Child Language, Language Acquisition, Grammar
Lim, Sarah; Levickis, Penny; Eadie, Patricia – Journal of Early Childhood Research, 2022
Research evidence suggests children experiencing adversity are at risk of language disparities in early childhood. This puts these children at risk of poor language outcomes, perpetuating disadvantage in later development and academic life. This study aimed to investigate associations between Early Childhood Education and Care (ECEC) attendance,…
Descriptors: Correlation, Early Childhood Education, Child Care, At Risk Persons
Hidaka, Shohei – Journal of Child Language, 2016
The number of unique words in children's speech is one of most basic statistics indicating their language development. We may, however, face difficulties when trying to accurately evaluate the number of unique words in a child's growing corpus over time with a limited sample size. This study proposes a novel technique to estimate the latent number…
Descriptors: Child Language, Language Acquisition, Vocabulary Development, Accuracy
Kol, Sheli; Nir, Bracha; Wintner, Shuly – Journal of Child Language, 2014
Several models of language acquisition have emerged in recent years that rely on computational algorithms for simulation and evaluation. Computational models are formal and precise, and can thus provide mathematically well-motivated insights into the process of language acquisition. Such models are amenable to robust computational evaluation,…
Descriptors: Language Acquisition, Models, Computational Linguistics, Evaluation Methods
Alcock, K. J.; Rimba, K.; Holding, P.; Kitsao-Wekulo, P.; Abubakar, A.; Newton, C. R. J. C. – Journal of Child Language, 2015
Communicative Development Inventories (CDIs, parent-completed language development checklists) are a helpful tool to assess language in children who are unused to interaction with unfamiliar adults. Generally, CDIs are completed in written form, but in developing country settings parents may have insufficient literacy to complete them alone. We…
Descriptors: Foreign Countries, African Languages, Measures (Individuals), Check Lists
Casby, Michael W. – Child Language Teaching and Therapy, 2011
Mean length of utterance (MLU) is a frequently used measure of the expressive language of young children. The suggested conventional, contemporary, clinical practice is to calculate it from a language sample of a minimum of 50 to 100 contiguous intelligible utterances. This practice places considerable strain on professionals working with young…
Descriptors: Language Impairments, Young Children, Expressive Language, Developmental Delays
Barner, David; Lui, Toni; Zapf, Jennifer – Developmental Psychology, 2012
Is "two" ever a plural marker in child language? By some accounts, children bootstrap the distinction between the words "one" and "two" by observing their use with singular-plural marking ("one ball/two balls"). Others argue that the numeral "two" marks plurality before children begin using numerals to denote precise quantities. We tested the…
Descriptors: Nouns, Child Language, Computation, Young Children