Developmental Differences in the Learning and Consolidation of Linguistic Regularities
Relative to adults, children have a well-known advantage for learning linguistic regularities, which could be partially driven by their deeper sleep. To examine the relationship between consolidation and language learning across development, children and adults learned a novel article system with an implicit grammatical rule.
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Computational pharmacovigilance of Lifitegrast in dry eye disease using machine learning and network toxicology. [PDF]
Li L +13 more
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A novel caputo fractional model for english language learning: Analysis and simulation with bayesian regularization approach. [PDF]
Maria +4 more
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Offline and online coupled tensor factorization with knowledge graph. [PDF]
Lee S, Park YC, Kang U.
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With or Without a System: How Category-Specific and System-Wide Cognitive Biases Shape Word Order. [PDF]
Holtz A, Kirby S, Culbertson J.
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The word-based regular expressions in computational linguistics
In this paper we propose a unified notation for representing rules in the natural language processing (NLP) and information retrieval (IR) systems. Our notation is both flexible and compact and can be used in a wide variety of tasks. This technique was successfully used in different NLP and IR modules such as input text preformatter, sentence boundary ...
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Linguistic changes in spontaneous speech for detecting Parkinson's disease using large language models. [PDF]
Crawford JL.
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Regular homophones: a tool for semantic typology and for linguistic reconstruction
This article deals with two different aspects of “regular homophony” in comparative historical linguistics. “Homophony” is used here as a cover term for both polysemy and homonymy, i.e. all the cases where a word is given several meanings in a dictionary.
Pozdniakov, Konstantin +1 more
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Novel forms for the expression of aspect in heritage Greek across majority languages. [PDF]
Rizou V +3 more
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DSN-STC: Leveraging Siamese networks for optimized short text clustering. [PDF]
Molaei M +3 more
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