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Integrating a Phrase Structure Corpus Grammar and a Lexical-Semantic Network: the HOLINET Knowledge Graph
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In: Proceedings of LREC 2022 ; https://hal-amu.archives-ouvertes.fr/hal-03655636 ; Proceedings of LREC 2022, Jun 2022, Marseille, France (2022)
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A Critical Anaysis od David Hume's Theory of Justice as an Artificial Virtue
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In: Argumentum: Journal of the Seminar of Discursive Logic, Argumentation Theory and Rhetoric, Vol 20, Iss 1, Pp 9-32 (2022) (2022)
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8-month-old infants' ability to process word order is shaped by the amount of exposure
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://halshs.archives-ouvertes.fr/halshs-03185034 ; Cognition, Elsevier, In press (2021)
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Linking an Abstract Corpus Grammar to a Lexical Semantic Network
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In: https://hal.archives-ouvertes.fr/hal-03552630 ; [Research Report] Laboratoire Parole et Langage – Université d’Aix-Marseille. 2021 (2021)
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Coupler syntaxe et sémantique dans une même base de connaissances linguistiques
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In: https://hal.archives-ouvertes.fr/hal-03552622 ; [Rapport de recherche] Laboratoire Parole et Langage – Université d’Aix-Marseille. 2021 (2021)
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GA and ILS for optimizing the size of NFA models
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In: The 8th International Conference on Metaheuristics and Nature Inspired Computing (META) ; https://hal.univ-angers.fr/hal-03284541 ; The 8th International Conference on Metaheuristics and Nature Inspired Computing (META), Oct 2021, Marrakech, Morocco (2021)
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Type-logical investigations: proof-theoretic, computational and linguistic aspects of modern type-logical grammars
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In: https://hal-lirmm.ccsd.cnrs.fr/tel-03452731 ; Computation and Language [cs.CL]. Université Montpellier, 2021 (2021)
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Non-adjacent dependency learning over consonants & vowels in 8- to 10-month-olds ...
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| 9 |
Elucidating an implicit learning network in healthy adults during artificial grammar tasks
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In: Master's Theses and Capstones (2021)
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Abstract:
Implicit learning is the unconscious extraction of rules governing complex stimuli, measured through experiments such as artificial grammar tasks, and is directly related to natural language learning. While several theories address the underlying framework for implicit learning, few studies have shed light on a consensus neural network involved in implicit learning. The short-term goal of this thesis is to further elucidate the brain regions involved in implicit learning of linguistic stimuli. The long-range goal of this research program is to understand how implicit learning and the brain regions associated with it relate to language learning and treatment outcomes in individuals with aphasia. A coordinate-based meta-analysis of 25 studies using implicit language learning tasks was completed. Activation likelihood estimate (ALE) results show significant activation in the bilateral inferior frontal gyri, bilateral insula, left supplemental motor area, right precentral gyrus, right middle cingulate, right middle occipital gyrus, and right inferior parietal lobule. The inferior frontal gyrus is discussed as a general rule-processing and error detection mechanism, and other regional activations are discussed related to their involvement in a cognitive control network. Cognitive control may be seen as an underlying mechanism for successful implicit learning and may be clinically relevant as a target for language intervention to scaffold syntax comprehension.
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Keyword:
artificial grammar; fMRI; implicit learning; statistical learning
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URL: https://scholars.unh.edu/cgi/viewcontent.cgi?article=2492&context=thesis
https://scholars.unh.edu/thesis/1453
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| 10 |
Information flow, artificial phonology and typology
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In: Proceedings of the Society for Computation in Linguistics (2021)
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| 11 |
Grammarly as AI-powered English Writing Assistant: Students’ Alternative for Writing English
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In: Metathesis: Journal of English Language, Literature, and Teaching; Vol 5, No 1 (2021): Metathesis: Journal of English Language, Literature, and Teaching; 65-78 ; 2580-2720 ; 2580-2712 ; 10.31002/metathesis.v5i1 (2021)
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| 12 |
Perceptual saliency, lenition, and learnability: An artificial grammar learning study
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| 13 |
Children’s Learning of a Semantics-Free Artificial Grammar with Center Embedding
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In: BIOLINGUISTICS; Vol. 14 (2020); 21-48 ; 1450-3417 (2020)
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| 14 |
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics
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In: Computer Science: Faculty Publications and Other Works (2020)
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Towards High-End Scalability on Bio-Inspired Computational Models
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In: Computer Science: Faculty Publications and Other Works (2020)
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Event related potentials at initial exposure in third language acquisition : Implications from an artificial mini-grammar study
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In: Journal of Neurolinguistics ; 56 (2020). - 100939. - Elsevier. - ISSN 0911-6044. - eISSN 1873-8052 (2020)
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