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Li, Daoxin; Schuler, Kathryn D. – Language Acquisition: A Journal of Developmental Linguistics, 2023
Languages differ regarding the depth, structure, and syntactic domains of recursive structures. Even within a single language, some structures allow infinite self-embedding while others are more restricted. For example, when expressing ownership relation, English allows infinite embedding of the prenominal genitive "-s," whereas the…
Descriptors: Language Acquisition, Linguistic Input, Artificial Languages, Learning Processes
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
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
Katz, Jonah; Moore, Michelle W. – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The aim of the study was to investigate the effects of specific acoustic patterns on word learning and segmentation in 8- to 11-year-old children and in college students. Method: Twenty-two children (ages 8;2-11;4 [years;months]) and 36 college students listened to synthesized "utterances" in artificial languages consisting of…
Descriptors: Phonetics, Child Language, Children, College Students
Ordin, Mikhail; Polyanskaya, Leona; Soto, David – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
We assessed the effect of bilingualism on metacognitive processing in the artificial language learning task, in 2 experiments varying in the difficulty to segment the language. Following a study phase in which participants were exposed to the artificial language, segmentation performance was assessed by means of a dual forced-choice recognition…
Descriptors: Metacognition, Bilingualism, Language Processing, Artificial Languages
Miller, Zachary F.; Godfroid, Aline – Studies in Second Language Acquisition, 2020
We investigated how positive, negative, and neutral mood states influence aspects of second language acquisition, either directly or in interaction with certain personality characteristics (openness, intuition, emotional intelligence, foreign language anxiety, and impulsivity). After completing individual differences questionnaires, 120…
Descriptors: Incidental Learning, Second Language Learning, Individual Differences, Personality Traits
Maie, Ryo; DeKeyser, Robert M. – Studies in Second Language Acquisition, 2020
This study is the first to compare objective and subjective measures of explicit and implicit knowledge under learning from incidental exposure. An experiment was conducted, during which L1 English speakers were trained on a semiartificial language, "Japlish." A measure of explicit knowledge and a recently proposed measure of implicit…
Descriptors: Native Language, English, Artificial Languages, Measures (Individuals)
Frost, Rebecca L. A.; Monaghan, Padraic; Christiansen, Morten H. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
High frequency words have been suggested to benefit both speech segmentation and grammatical categorization of the words around them. Despite utilizing similar information, these tasks are usually investigated separately in studies examining learning. We determined whether including high frequency words in continuous speech could support…
Descriptors: Word Frequency, Speech Communication, Task Analysis, Language Tests
Hudson Kam, Carla L. – Language Learning and Development, 2019
The phenomenon of regularization -- learners imposing systematicity on inconsistent variation in language input -- is complex. Studies show that children are more likely to regularize than adults, but adults will also regularize under certain circumstances. Exactly why we see the pattern of behaviour that we do is not well understood, however.…
Descriptors: Language Variation, Linguistic Input, Interference (Learning), Language Acquisition
Hudson Kam, Carla L. – Language Learning and Development, 2018
Adult learners know that language is for communicating and that there are patterns in the language that need to be learned. This affects the way they engage with language input; they search for form-meaning linkages, and this effortful engagement could interfere with their learning, especially for things like grammatical gender that often have at…
Descriptors: Infants, Adult Learning, Grammar, Language Patterns
Rogers, John – Language Awareness, 2017
Recent years have witnessed a strong and increasing interest in the incidental learning of second language grammar. While much of this research has focused on the acquisition of second language word order or noun-determiner systems, relatively fewer studies have examined the learning of second language morphology. Results of studies that have…
Descriptors: Metalinguistics, Incidental Learning, Grammar, Language Tests
McDonough, Kim; Trofimovich, Pavel – Bilingualism: Language and Cognition, 2013
This study compared the effectiveness of balanced and skewed input at facilitating the acquisition of the transitive construction in Esperanto, characterized by the accusative suffix "-n" and variable word order (SVO, OVS). Thai university students (N = 98) listened to 24 sentences under skewed (one noun with high token frequency) or…
Descriptors: Linguistic Input, Second Language Learning, Morphemes, Artificial Languages