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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
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
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
Mayo, Jessica; Eigsti, Inge-Marie – Journal of Autism and Developmental Disorders, 2012
Individuals with autism spectrum disorders have impairments in language acquisition, but the underlying mechanism of these deficits is poorly understood. Implicit learning is potentially relevant to language development, particularly in speech segmentation, which relies on sensitivity to transitional probabilities between speech sounds. This study…
Descriptors: Autism, Artificial Languages, Language Acquisition, Probability
Kapa, Leah Lynn – ProQuest LLC, 2013
Prior research has established an executive function advantage among bilinguals as compared to monolingual peers. These non-linguistic cognitive advantages are largely assumed to result from the experience of managing two linguistic systems. However, the possibility remains that the relationship between bilingualism and executive function is…
Descriptors: Artificial Languages, Executive Function, Adults, Bilingualism
Hudson Kam, Carla L.; Newport, Elissa L. – Cognitive Psychology, 2009
When natural language input contains grammatical forms that are used probabilistically and inconsistently, learners will sometimes reproduce the inconsistencies; but sometimes they will instead regularize the use of these forms, introducing consistency in the language that was not present in the input. In this paper we ask what produces such…
Descriptors: Form Classes (Languages), Artificial Languages, Adult Learning, Linguistic Input