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Showing 1 to 15 of 18 results Save | Export
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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
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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
Dionysia Saratsli – ProQuest LLC, 2022
It is often assumed that cross-linguistically more prevalent distinctions are easier to learn potentially due to their conceptual naturalness. Prior work supports this hypothesis in phonology, morphology and syntax but has not addressed semantics. This work aims to unravel the potential factors that contribute to the learnability and the…
Descriptors: Semantics, Grammar, English, Artificial Languages
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Mansfield, John; Saldana, Carmen; Hurst, Peter; Nordlinger, Rachel; Stoll, Sabine; Bickel, Balthasar; Perfors, Andrew – Cognitive Science, 2022
Inflectional affixes expressing the same grammatical category (e.g., subject agreement) tend to appear in the same morphological position in the word. We hypothesize that this cross-linguistic tendency toward "category clustering" is at least partly the result of a learning bias, which facilitates the transmission of morphology from one…
Descriptors: Morphology (Languages), Morphemes, Grammar, Transfer of Training
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
Lubera, Amber – ProQuest LLC, 2023
This dissertation presents four iterative experiments which explore the quantitative benefits of introducing linguistics to language learners. Previous work has connected exploration of linguistic with improved morale and engagement in language classrooms, as well as reduced language discrimination and validation of students' languages and…
Descriptors: Second Language Learning, Second Language Instruction, Learner Engagement, Linguistics
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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)
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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
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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
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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
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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
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Hupbach, Almut; Gomez, Rebecca L.; Bootzin, Richard R.; Nadel, Lynn – Developmental Science, 2009
Sleep has been shown to aid a variety of learning and memory processes in adults (Stickgold, 2005 ). Recently, we showed that infants' learning also benefits from subsequent sleep such that infants who nap are able to abstract the general grammatical pattern of a briefly presented artificial language (Gomez, Bootzin & Nadel, 2006 ). In the present…
Descriptors: Grammar, Artificial Languages, Infants, Sleep
Austin, Alison C. – ProQuest LLC, 2010
When linguistic input provides inconsistent evidence for grammatical structures, children tend to regularize. For example, children learning languages from parents who are imperfect users of the language regularize their parents' inconsistent usages (Singleton & Newport, 2004). Previous studies (Hudson Kam & Newport, 2005, 2009) have examined this…
Descriptors: Evidence, Sentences, Form Classes (Languages), Grammar
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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
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Mueller, Jutta L. – Language Learning, 2006
The present chapter bridges two lines of neurocognitive research, which are, despite being related, usually discussed separately from each other. The two fields, second language (L2) sentence comprehension and artificial grammar processing, both depend on the successful learning of complex sequential structures. The comparison of the two research…
Descriptors: Language Processing, Reading Comprehension, Second Language Learning, Models
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