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Differences in word learning in children: bilingualism or linguistic experience?
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Integrating when and what information in the left parietal lobe allows language rule generalization
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Integrating when and what information in the left parietal lobe allows language rule generalization
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In: PLoS Biol (2020)
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Spontaneous synchronization to speech reveals neural mechanisms facilitating language learning
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Behavioural and structural analysis of the interaction between language rule learning and temporal attention in Huntington's Disease.
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In: http://etd.adm.unipi.it/theses/available/etd-01062019-152829/ (2019)
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Structural priming in sentence comprehension: A single prime is enough
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In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-02326558 ; PLoS ONE, Public Library of Science, 2018, 13 (4), pp.e0194959. ⟨10.1371/journal.pone.0194959⟩ (2018)
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Semantic and phonological schema influence spoken word learning and overnight consolidation. ...
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Semantic and phonological schema influence spoken word learning and overnight consolidation
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Semantic and phonological schema influence spoken word learning and overnight consolidation.
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Semantic and phonological schema influence spoken word learning and overnight consolidation
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Structural priming in sentence comprehension: A single prime is enough
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A systematic linguistic profile of spontaneous narrative speech in pre-symptomatic and early stage Huntington's disease
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Language Learning Variability within the Dorsal and Ventral Streams as a Cue for Compensatory Mechanisms in Aphasia Recovery
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Semantic Congruence Accelerates the Onset of the Neural Signals of Successful Memory Encoding
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COMT Val158Met Polymorphism Modulates Huntington's Disease Progression
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In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-02326563 ; PLoS ONE, Public Library of Science, 2016, 11 (9), pp.e0161106. ⟨10.1371/journal.pone.0161106⟩ (2016)
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Prosodic cues enhance rule learning by changing speech segmentation mechanisms
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Abstract:
Prosody has been claimed to have a critical role in the acquisition of grammatical information from speech. The exact mechanisms by which prosodic cues enhance learning are fully unknown. Rules from language often require the extraction of non-adjacent dependencies (e.g., he plays, he sings, he speaks). It has been proposed that pauses enhance learning because they allow computing non-adjacent relations helping word segmentation by removing the need to compute adjacent computations. So far only indirect evidence from behavioral and electrophysiological measures comparing learning effects after exposure to speech with and without pauses support this claim. By recording event-related potentials during the acquisition process of artificial languages with and without pauses between words with embedded non-adjacent rules we provide direct evidence on how the presence of pauses modifies the way speech is processed during learning to enhance segmentation and rule generalization. The electrophysiological results indicate that pauses as short as 25 ms attenuated the N1 component irrespective of whether learning was possible or not. In addition, a P2 enhancement was present only when learning of non-adjacent dependencies was possible. The overall results support the claim that the simple presence of subtle pauses changed the segmentation mechanism used reflected in an exogenously driven N1 component attenuation and improving segmentation at the behavioral level. This effect can be dissociated from the endogenous P2 enhancement that is observed irrespective of the presence of pauses whenever non-adjacent dependencies are learned.
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Keyword:
Psychology
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4588126/ https://doi.org/10.3389/fpsyg.2015.01478 http://www.ncbi.nlm.nih.gov/pubmed/26483731
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Brain structural and functional differences associated to language learning abilities
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Language Learning under Working Memory Constraints Correlates with Microstructural Differences in the Ventral Language Pathway
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Language Learning under Working Memory Constraints Correlates with Microstructural Differences in the Ventral Language Pathway
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