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Gillis, Jasmine Urquhart; Gul, Asiya; Fox, Annie; Parikh, Aditi; Arbel, Yael – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The purpose of the study was to evaluate implicit learning in children with developmental language disorder (DLD) by employing a visual artificial grammar learning task. Method: Thirteen children with DLD and 24 children with typical language development between the ages of 8 and 12 years completed a visual artificial grammar learning…
Descriptors: Grammar, Artificial Languages, Language Impairments, Decision Making
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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
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Cooper, Angela; Paquette-Smith, Melissa; Bordignon, Caterina; Johnson, Elizabeth K. – Language Learning and Development, 2023
Foreign accents can vary considerably in the degree to which they deviate from the listener's native accent, but little is known about how the relationship between a speaker's accent and a listener's native language phonology mediates adaptation. Using an artificial accent methodology, we addressed this issue by constructing a set of three…
Descriptors: Pronunciation, Auditory Perception, Adults, Toddlers
Elisabeth Wilhelmina Maria Hopman – ProQuest LLC, 2022
Generalization is the ability to apply regularities to novel instances, for example, correctly guessing that the plural for the novel English word 'wug' should be 'wugs'. Early language learners make overgeneralization errors like 'mouses', applying regularities beyond their attested uses. Theories concerned with the question of how learners learn…
Descriptors: Generalization, Second Language Learning, Second Language Instruction, Error Patterns
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Radulescu, Silvia; Wijnen, Frank; Avrutin, Sergey – Language Learning and Development, 2020
From limited evidence, children track the regularities of their language impressively fast and they infer generalized rules that apply to novel instances. This study investigated what drives the inductive leap from memorizing specific items and statistical regularities to extracting abstract rules. We propose an innovative entropy model that…
Descriptors: Linguistic Input, Language Acquisition, Grammar, Learning Processes
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Tao, Yan; Williams, John N. – Language Learning, 2018
A hallmark of grammatical knowledge is the ability to parse novel syntactic structures. Previous artificial language studies have examined learning hierarchical structures, but few have involved meaningful language and shown generalization to novel structures. This study addressed this issue using the semiartificial language paradigm. The…
Descriptors: Generalization, Syntax, Second Language Learning, Control Groups
Federica Bulgarelli – ProQuest LLC, 2018
A well-known challenge for language learners is that the input is typically produced by a variety of speakers, each with distinct vocal characteristics (Liberman, Harris, Hoffman, & Griffith, 1957). Accordingly, many studies have indicated that talker variability leads to processing costs for learners across the lifespan (Jusczyk & Pisoni,…
Descriptors: Linguistic Input, Second Language Learning, Second Language Instruction, Language Processing
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Laine, Matti; Polonyi, Tünde; Abari, Kálmán – Journal of Psycholinguistic Research, 2014
In literates, reading is a fundamental channel for acquiring new vocabulary both in the mother tongue and in foreign languages. By using an artificial language learning task, we examined the acquisition of novel written words and their embedded regularities (an orthographic surface feature and a syllabic feature) in three groups of university…
Descriptors: Generalization, Vocabulary Development, Recognition (Psychology), Task Analysis