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Exploring the “anchor word” effect in infants: Segmentation and categorisation of speech with and without high frequency words
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In: PLoS One (2020)
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Learning Without Trying: The Clinical Relevance of Statistical Learning
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Do infants retain the statistics of a statistical learning experience? Insights from a developmental cognitive neuroscience perspective
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How do high frequency words assist language acquisition in 12-month-olds?
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Preschool Children’s Memory for Word Forms Remains Stable Over Several Days, but Gradually Decreases after 6 Months
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Preschool Children’s Memory for Word Forms Remains Stable Over Several Days, but Gradually Decreases after 6 Months
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The nature of the language input affects brain activation during learning from a natural language
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Does hearing two dialects at different times help infants learn dialect-specific rules?
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Probabilistically-Cued Patterns Trump Perfect Cues in Statistical Language Learning
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Abstract:
Probabilistically-cued co-occurrence relationships between word categories are common in natural languages but difficult to acquire. For example, in English, determiner-noun and auxiliary-verb dependencies both involve co-occurrence relationships, but determiner-noun relationships are more reliably marked by correlated distributional and phonological cues, and appear to be learned more readily. We tested whether experience with co-occurrence relationships that are more reliable promotes learning those that are less reliable using an artificial language paradigm. Prior experience with deterministically-cued contingencies did not promote learning of less reliably-cued structure, nor did prior experience with relationships instantiated in the same vocabulary. In contrast, prior experience with probabilistically-cued co-occurrence relationships instantiated in different vocabulary did enhance learning. Thus, experience with co-occurrence relationships sharing underlying structure but not vocabulary may be an important factor in learning grammatical patterns. Furthermore, experience with probabilistically-cued co-occurrence relationships, despite their difficultly for naïve learners, lays an important foundation for learning novel probabilistic structure.
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Article
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URL: https://doi.org/10.1080/15475441.2012.685826 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3961759
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