Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 11 |
Descriptor
Artificial Languages | 13 |
Grammar | 13 |
Models | 13 |
Language Acquisition | 7 |
Language Processing | 5 |
Adults | 3 |
Classification | 3 |
Cognitive Processes | 3 |
Generalization | 3 |
Learning Processes | 3 |
Linguistic Theory | 3 |
More ▼ |
Source
Cognition | 4 |
Cognitive Science | 2 |
Language Learning | 2 |
ProQuest LLC | 2 |
Journal of Communication… | 1 |
Journal of Memory and Language | 1 |
Language Learning and… | 1 |
Author
Publication Type
Journal Articles | 11 |
Reports - Research | 8 |
Reports - Evaluative | 3 |
Dissertations/Theses -… | 2 |
Education Level
Adult Education | 1 |
Audience
Location
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Carter, William Thomas Jeffrey – ProQuest LLC, 2019
Despite OT's success, opaque alternations prove difficult to capture with constraints, and some violate the theory's formal restrictions. Here, I propose a novel account of opacity drawing upon developments in psychology. Rather than one grammar, I propose a dual-system model with implicit and explicit mechanisms, a domain-specific OT-like system…
Descriptors: Grammar, Language Patterns, Models, Psychology
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
Schuler, Kathryn Dolores – ProQuest LLC, 2017
In natural language, evidence suggests that, while some rules are productive (regular), applying broadly to new words, others are restricted to a specific set of lexical items (irregular). Further, the literature suggests that children make a categorical distinction between regular and irregular rules, applying only regular rules productively…
Descriptors: Prediction, Linguistic Theory, Language Acquisition, Grammar
Aslin, Richard N.; Newport, Elissa L. – Language Learning, 2014
In the past 15 years, a substantial body of evidence has confirmed that a powerful distributional learning mechanism is present in infants, children, adults and (at least to some degree) in nonhuman animals as well. The present article briefly reviews this literature and then examines some of the fundamental questions that must be addressed for…
Descriptors: Linguistic Input, Grammar, Language Research, Computational Linguistics
Culbertson, Jennifer; Smolensky, Paul – Cognitive Science, 2012
In this article, we develop a hierarchical Bayesian model of learning in a general type of artificial language-learning experiment in which learners are exposed to a mixture of grammars representing the variation present in real learners' input, particularly at times of language change. The modeling goal is to formalize and quantify hypothesized…
Descriptors: Models, Bayesian Statistics, Artificial Languages, Language Acquisition
Arnon, Inbal; Ramscar, Michael – Cognition, 2012
Why do adult language learners typically fail to acquire second languages with native proficiency? Does prior linguistic experience influence the size of the "units" adults attend to in learning, and if so, how does this influence what gets learned? Here, we examine these questions in relation to grammatical gender, which adult learners almost…
Descriptors: Sentences, Nouns, Grammar, Linguistics
Culbertson, Jennifer; Smolensky, Paul; Legendre, Geraldine – Cognition, 2012
How recurrent typological patterns, or universals, emerge from the extensive diversity found across the world's languages constitutes a central question for linguistics and cognitive science. Recent challenges to a fundamental assumption of generative linguistics--that universal properties of the human language acquisition faculty constrain the…
Descriptors: Form Classes (Languages), Grammar, Linguistics, Artificial Languages
Amato, Michael S.; MacDonald, Maryellen C. – Cognition, 2010
A study combining artificial grammar and sentence comprehension methods investigated the learning and online use of probabilistic, nonadjacent combinatorial constraints. Participants learned a small artificial language describing cartoon monsters acting on objects. Self-paced reading of sentences in the artificial language revealed comprehenders'…
Descriptors: Sentences, Artificial Languages, Cartoons, Language Processing
Wong, Patrick C. M.; Ettlinger, Marc – Journal of Communication Disorders, 2011
We report two sets of experiments showing that the large individual variability in language learning success in adults can be attributed to neurophysiological, neuroanatomical, cognitive, and perceptual factors. In the first set of experiments, native English-speaking adults learned to incorporate lexically meaningfully pitch patterns in words. We…
Descriptors: Speech Communication, Speech, Phonology, Tone Languages
Endress, Ansgar D.; Dehaene-Lambertz, Ghislaine; Mehler, Jacques – Cognition, 2007
Cognitive processes are often attributed to statistical or symbolic general-purpose mechanisms. Here we show that some spontaneous generalizations are driven by specialized, highly constrained symbolic operations. We explore how two types of artificial grammars are acquired, one based on repetitions and the other on characteristic relations…
Descriptors: Cognitive Processes, Generalization, Grammar, Physiology
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
Petersson, Karl Magnus; Forkstam, Christian; Ingvar, Martin – Cognitive Science, 2004
In the present study, using event-related functional magnetic resonance imaging, we investigated a group of participants on a grammaticality classification task after they had been exposed to well-formed consonant strings generated from an artificial regular grammar. We used an implicit acquisition paradigm in which the participants were exposed…
Descriptors: Grammar, Classification, Models, Language Processing
Taraban, Roman – Journal of Memory and Language, 2004
According to "noun-cue" models, arbitrary linguistic categories, like those associated with case and gender systems, are difficult to learn unless members of the target category (i.e., nouns) are marked with phonological or semantic cues that reliably co-occur with grammatical morphemes (e.g., determiners) that exemplify the categories. "Syntactic…
Descriptors: Syntax, Nouns, Cues, Models