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John N. Williams; Yuyan Xue – Studies in Second Language Acquisition, 2024
Is it possible to acquire a sensitivity to a regularity in language without intending to and without awareness of what it is? In this conceptual replication and extension of an earlier study (Williams, 2005) participants were trained on a semiartificial language in which determiner choice was dependent on noun animacy. Participants who did not…
Descriptors: Language Acquisition, Artificial Languages, Intuition, Nouns
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Sarah Berger; Laura J. Batterink – Developmental Science, 2024
Children achieve better long-term language outcomes than adults. However, it remains unclear whether children actually learn language "more quickly" than adults during real-time exposure to input--indicative of true superior language learning abilities--or whether this advantage stems from other factors. To examine this issue, we…
Descriptors: Child Language, Language Acquisition, Learning Processes, Language Skills
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Seongsil Lee; Yasmeen Faroqi-Shah – Journal of Speech, Language, and Hearing Research, 2024
Purpose: The present meta-analysis investigated the efficacy of anomia treatment in bilingual and multilingual persons with aphasia (BPWAs) by assessing the magnitudes of six anomia treatment outcomes. Three of the treatment outcomes pertained to the "trained language": improvement of trained words (treatment effect [TE]),…
Descriptors: Meta Analysis, Naming, Aphasia, Bilingualism
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Michèle Masson-Trottier; Karine Marcotte; Elizabeth Rochon; Carol Leonard; Ana Inés Ansaldo – International Journal of Language & Communication Disorders, 2024
Background: Over 50% of individuals with aphasia face ongoing word-finding issues. Studies have found phonologically oriented therapy helpful for English speakers, but this has not yet been studied in French. It is essential to assess the effectiveness of such a therapy in French, considering the distinct linguistic typologies between both…
Descriptors: Aphasia, French, Phonology, Language Processing
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Erin Conwell; Jesse Snedeker – Language Learning and Development, 2024
Natural languages contain systematic relationships between verb meaning and verb argument structure. Artificial language learning studies typically remove those relationships and instead pair verb meanings randomly with structures. Adult participants in such studies can detect statistical regularities associated with words in these languages and…
Descriptors: Semantics, Cues, Verbs, Adults
Mingying Zheng – ProQuest LLC, 2024
The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…
Descriptors: Artificial Intelligence, Computational Linguistics, Language Tests, English (Second Language)