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1
Within-task variability on standardized language tests predicts autism spectrum disorder: a pilot study of the Response Dispersion Index
In: Faculty Journal Articles (2019)
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Within-task variability on standardized language tests predicts autism spectrum disorder: a pilot study of the Response Dispersion Index ...
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Within-task variability on standardized language tests predicts autism spectrum disorder: a pilot study of the Response Dispersion Index ...
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4
Within-task variability on standardized language tests predicts autism spectrum disorder: a pilot study of the Response Dispersion Index
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5
Differential Gaze Patterns on Eyes and Mouth During Audiovisual Speech Segmentation
In: Faculty Journal Articles (2016)
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6
Audiovisual perceptual learning with multiple speakers
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7
Visual Speech Segmentation: Using Facial Cues to Locate Word Boundaries in Continuous Speech
In: Faculty Journal Articles (2014)
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8
Multimodal Integration in Statistical Learning: Evidence from the McGurk Illusion
In: Faculty Journal Articles (2014)
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9
Multimodal integration in statistical learning: evidence from the McGurk illusion
Mitchel, Aaron D.; Christiansen, Morten H.; Weiss, Daniel J.. - : Frontiers Media S.A., 2014
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10
Visual speech segmentation: using facial cues to locate word boundaries in continuous speech
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11
Colliding cues in word segmentation: the role of cue strength and general cognitive processes
In: Language and cognitive processes. - Abingdon : Routledge, Taylor & Francis Group 25 (2010) 3, 402-422
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12
What's in a face? Visual contributions to speech segmentation
In: Language and cognitive processes. - Abingdon : Routledge, Taylor & Francis Group 25 (2010) 4, 456-482
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13
RESOLVING COMPETITION IN BILINGUAL STATISTICAL LEARNING PARADIGMS
In: http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-2685/index.html (2010)
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14
Speech segmentation in a simulated bilingual environment: a challenge for statistical learning?
In: Language learning and development. - Philadelphia, Pa. : Taylor & Francis 5 (2009) 1, 30-49
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15
SPEECH SEGMENTATION IN A SIMULATED BILINGUAL ENVIRONMENT: A CHALLENGE FOR STATISTICAL LEARNING?
Abstract: Studies using artificial language streams indicate that infants and adults can use statistics to correctly segment words. However, most studies have utilized only a single input language. Given the prevalence of bilingualism, how is multiple language input segmented? One particular problem may occur if learners combine input across languages: the statistics of particular units that overlap different languages may subsequently change and disrupt correct segmentation. Our study addresses this issue by employing artificial language streams to simulate the earliest stages of segmentation in adult L2-learners. In four experiments, participants tracked multiple sets of statistics for two artificial languages. Our results demonstrate that adult learners can track two sets of statistics simultaneously, suggesting that they form multiple representations when confronted with bilingual input. This work, along with planned infant experiments, informs a central issue in bilingualism research, namely, determining at what point listeners can form multiple representations when exposed to multiple languages.
Keyword: Article
URL: https://doi.org/10.1080/15475440802340101
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3981102
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16
Do Bilinguals Access a Shared or Separate Conceptual Store? Creating False Memories in a Mixed-Language Paradigm
In: Psychology Honors Projects (2005)
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