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Lenhart, Michelle H.; Timler, Geralyn R.; Pavelko, Stacey L.; Bronaugh, Dannette A.; Dudding, Carol C. – Language, Speech, and Hearing Services in Schools, 2022
Purpose: Syntax has been called the structural foundation of language, as its development allows for more efficient and effective communication. Complex syntax production is known to lag in children and adolescents with language impairment. Conversation, narrative, and expository language sampling contexts are recommended tools for the…
Descriptors: Syntax, Language Impairments, Elementary School Students, Sampling
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Altman, Carmit; Avraham, Ilanit; Meirovich, Shlomit Shnitzer; Lifshitz, Hefziba – Journal of Applied Research in Intellectual Disabilities, 2022
Individuals with intellectual disability may have limited narrative skills. The novelty of this study lies in the examination of strengths and weaknesses which may enable a more facilitative approach to narrative and other storytelling-based methodologies among adults with intellectual disability who study in an academic enrichment program in…
Descriptors: Intellectual Disability, Students with Disabilities, Story Telling, Adult Students
Yu'an Yang – ProQuest LLC, 2022
Languages tend to have three major clause types (declaratives, interrogatives, imperatives), dedicated to three main speech acts (assertions, questions, commands). However, the particular forms that these clause types take differ from language to language, and have to be learned. Previous experimental results suggest that by 18 months old,…
Descriptors: Form Classes (Languages), Speech Acts, Language Acquisition, English
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Schneider, Johannes; Richner, Robin; Riser, Micha – International Journal of Artificial Intelligence in Education, 2023
Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…
Descriptors: Grading, Natural Language Processing, Computer Assisted Testing, Ethics
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Hendricks, Alison Eisel; Jerard, Jillian; Guo, Ling-Yu – Language, Speech, and Hearing Services in Schools, 2023
Purpose: Measures of grammatical accuracy are effective measures of children's language skills. However, many measures, such as percent grammatical utterances, were developed for children who speak General American English (GAE) and, therefore, may not be appropriate for students who speak other dialects. This study examines different scoring…
Descriptors: Black Dialects, Grammar, Accuracy, Language Skills
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Henderson, Davis E. – Language, Speech, and Hearing Services in Schools, 2023
Purpose: The American Speech-Language-Hearing Association requires speech-language pathologists (SLPs) to be aware of language disorders versus language differences. SLPs are likely to provide clinical services to Navajo and other Native American children with communication disorders. Therefore, the purpose of this article is to educate SLPs who…
Descriptors: Speech Language Pathology, Allied Health Personnel, Speech Impairments, Navajo (Nation)
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Pronina, Mariia; Prieto, Pilar; Bischetti, Luca; Bambini, Valentina – Language Learning and Development, 2023
Pragmatics lies at the point where language meets the social world and encompasses both the linguistic and the social dimensions of communication. However, the relationship between pragmatic abilities, other language skills, and socio-cognitive aspects such as mentalizing is still a matter of wide debate. This study sets out to investigate the…
Descriptors: Expressive Language, Pragmatics, Suprasegmentals, Preschool Children
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Liu, Houjun; MacWhinney, Brian; Fromm, Davida; Lanzi, Alyssa – Journal of Speech, Language, and Hearing Research, 2023
Purpose: A major barrier to the wider use of language sample analysis (LSA) is the fact that transcription is very time intensive. Methods that can reduce the required time and effort could help in promoting the use of LSA for clinical practice and research. Method: This article describes an automated pipeline, called Batchalign, that takes raw…
Descriptors: Automation, Language Tests, Computational Linguistics, Morphology (Languages)
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Li Li; Yi Su; Wenwen Hou; Muyu Zhou; Yixiang Xie; Xiaobing Zou; Ming Li – Journal of Speech, Language, and Hearing Research, 2023
Purpose: This cross-sectional study aimed to depict expressive language profiles and clarify lexical-grammatical interrelationships in Mandarin-speaking preschoolers with autism spectrum disorder (ASD) during the administration of the simplified Chinese Psychoeducational Profile--Third Edition screening. Method: We collected naturalistic language…
Descriptors: Foreign Countries, Mandarin Chinese, Students with Disabilities, Autism Spectrum Disorders
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Fusaroli, Riccardo; Weed, Ethan; Rocca, Roberta; Fein, Deborah; Naigles, Letitia – Cognitive Science, 2023
Linguistic repetitions in children are conceptualized as negative in children with autism -- echolalia, without communicative purpose -- and positive in typically developing (TD) children -- linguistic alignment involved in shared engagement, common ground and language acquisition. To investigate this apparent contradiction we analyzed spontaneous…
Descriptors: Computation, Autism Spectrum Disorders, Young Children, Repetition
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Tuyuan Cheng – Journal of Psycholinguistic Research, 2023
The relationship between working memory (WM) and language processing has been extensively investigated in cognitive research. Previous studies mostly obtain evidence from measuring the involvement of WM in complex syntactic structures reported with well-established processing asymmetry, e.g., relative clauses (RCs) in English. Rarely considered is…
Descriptors: Memory, Interference (Learning), Short Term Memory, Language Processing
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Liubov Darzhinova; Zoe Pei-sui Luk – Journal of Psycholinguistic Research, 2024
The study tested how the Recency Preference and Predicate Proximity model (Gibson et al. in Cognition 59(1):23-59, 1996, https://doi-org.bibliotheek.ehb.be/10.1016/0010-0277(88)90004-2) plays out by examining the attachment preferences of native Russian speakers when processing locally ambiguous participial relative clause sentences with three potential NP…
Descriptors: Form Classes (Languages), Sentences, Russian, Language Processing
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Thanh T. G. Trinh; Kees de Bot; Marjolijn Verspoor – Language Teaching Research Quarterly, 2024
This longitudinal case study from a Complex Dynamic Systems Theory (CDST) perspective touches upon an under-researched issue: L1 development over the lifespan. Levinson (1978) predicts three stages in adulthood: early, mid and late, with a decline in late adulthood. We examine Diane Larsen-Freeman's publications over a period of 50 years (from age…
Descriptors: Authors, Writing Skills, Longitudinal Studies, Lifelong Learning
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Yi-Ching Su – Language Learning and Development, 2024
It has been reported for decades that preschool children (age 4-7) tend to assign non-adult-like interpretations for sentences with pre-subject exclusive only. This study reports findings from two experiments investigating (1) the effects of (in)congruent implicit questions in discourse contexts and (2) word order transformation on children's…
Descriptors: Preschool Children, Language Processing, Adults, Language Patterns
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Zhanna Zalledinova; Kunipa Ashinova; Almash Seidikenova; Gulnar Alipbayevna Karibayeva – Novitas-ROYAL (Research on Youth and Language), 2024
The article presents the results of a comprehensive study of the complex cognitive-linguistic mechanisms underlying the formation and representation of spiritual-philosophical concepts in J. O'Donohue's "Anam Cara: Spiritual Wisdom from the Celtic World" (1997). Drawing on cognitive linguistics, philosophy, and cultural studies, the…
Descriptors: Psycholinguistics, Spiritual Development, Figurative Language, Imagery
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