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Hits 101 – 120 of 46.108

101
Children’s understanding of presupposition projection in conditionals ...
Chen, Sherry Yong. - : Open Science Framework, 2022
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102
Attention-Language Interface in Multilingual Assessment Instrument for Narratives (MAIN) ...
Sekerina, Irina. - : Open Science Framework, 2022
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103
How biased are listeners towards second language speech? A replication and extension ...
Wiener, Seth. - : Open Science Framework, 2022
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104
Where’s the Bingleduff? Influences of Speaker Accent on Memory in Children ...
St. Pierre, Thomas. - : Open Science Framework, 2022
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105
Encoding inferential evidence for events in language: Evidence from Turkish speaking children ...
Ünal, Ercenur. - : Open Science Framework, 2022
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106
Does high talker variability improve the learning of non-native phoneme contrasts? A replication ...
Brekelmans, Gwen. - : Open Science Framework, 2022
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107
Current & Future Research Directions in Singapore Mandarin ...
Styles, Suzy. - : Open Science Framework, 2022
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108
Arousal States as a Key Source of Variability in Speech Perception and Learning
In: Languages; Volume 7; Issue 1; Pages: 19 (2022)
Abstract: The human brain exhibits the remarkable ability to categorize speech sounds into distinct, meaningful percepts, even in challenging tasks like learning non-native speech categories in adulthood and hearing speech in noisy listening conditions. In these scenarios, there is substantial variability in perception and behavior, both across individual listeners and individual trials. While there has been extensive work characterizing stimulus-related and contextual factors that contribute to variability, recent advances in neuroscience are beginning to shed light on another potential source of variability that has not been explored in speech processing. Specifically, there are task-independent, moment-to-moment variations in neural activity in broadly-distributed cortical and subcortical networks that affect how a stimulus is perceived on a trial-by-trial basis. In this review, we discuss factors that affect speech sound learning and moment-to-moment variability in perception, particularly arousal states—neurotransmitter-dependent modulations of cortical activity. We propose that a more complete model of speech perception and learning should incorporate subcortically-mediated arousal states that alter behavior in ways that are distinct from, yet complementary to, top-down cognitive modulations. Finally, we discuss a novel neuromodulation technique, transcutaneous auricular vagus nerve stimulation (taVNS), which is particularly well-suited to investigating causal relationships between arousal mechanisms and performance in a variety of perceptual tasks. Together, these approaches provide novel testable hypotheses for explaining variability in classically challenging tasks, including non-native speech sound learning.
Keyword: arousal; neuromodulation; pupillometry; second language acquisition; speech perception; transcutaneous auricular vagus nerve stimulation
URL: https://doi.org/10.3390/languages7010019
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109
Individual Differences in Singing Behavior during Childhood Predicts Language Performance during Adulthood
In: Languages; Volume 7; Issue 2; Pages: 72 (2022)
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110
Short-Term Memory for Auditory Temporal Patterns and Meaningless Sentences Predicts Learning of Foreign Word Forms
In: Brain Sciences; Volume 12; Issue 5; Pages: 549 (2022)
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111
Preliminary Results on the Development of the Perception of Spanish /e/ and /ei/ by Heritage Learners vs. L2 Learners of Spanish in the Classroom
In: Languages; Volume 7; Issue 1; Pages: 7 (2022)
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112
Acquiring French Intonation against the Backdrop of Heritage Bilingualism: The Case of German–Turkish Learners
In: Languages; Volume 7; Issue 1; Pages: 68 (2022)
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113
Segmental and Prosodic Evidence for Property-by-Property Transfer in L3 English in Northern Africa
In: Languages; Volume 7; Issue 1; Pages: 28 (2022)
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114
Examining Comprehension of Prosodic Contrasts in 7-12 Year Old Children
Stanhope, Rebekah. - : The Ohio State University, 2022
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115
EFL learners and Sociolinguistic factors. ...
Raykhona Gulomova. - : Zenodo, 2022
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116
EFL learners and Sociolinguistic factors. ...
Raykhona Gulomova. - : Zenodo, 2022
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117
EFL learners and Sociolinguistic factors. ...
Raykhona Gulomova. - : Zenodo, 2022
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118
EFL learners and Sociolinguistic factors. ...
Raykhona Gulomova. - : Zenodo, 2022
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119
Language learning through interaction: Online and in the classroom
In: The Coastal Review: An Online Peer-reviewed Journal (2022)
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120
Regression modeling for linguistic data ...
Sonderegger, Morgan. - : Open Science Framework, 2022
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