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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Are Explicit Frequency Counters Necessary in Computational Models of Early Word Segmentation? ... 43rd Annual Meeting of the Cognitive Science Society 2021; Bott, Lewis; Cabiddu, Francesco. - : Underline Science Inc., 2021 BASE Show details 2 Are Explicit Frequency Counters Necessary in Computational Models of Early Word Segmentation? ... 43rd Annual Meeting of the Cognitive Science Society 2021; Bott, Lewis; Cabiddu, Francesco; Gambi, Chiara; Jones, Gary. - : Underline Science Inc., 2021 Abstract: Frequency counters are computational mechanisms that track the frequency or probability of speech units. Such counters are idealizations which re-describe frequency effects in early word segmentation, not providing an underlying learning mechanism from which these effects arise. Previous work has shown that Implicit Chunking represents a plausible learning mechanism explaining infants’ sensitivity to statistical cues when segmenting small-scale artificial languages (French et al., 2011). However, no work has examined whether Implicit Chunking allows to segment naturalistic speech in a developmentally plausible way. Here, we show how a novel symbolic model of Implicit Chunking – CLASSIC-Utterance-Boundary - performs better or as well as previous frequency-based models (i.e., transitional probability, chunking) at predicting children’s word age of first production and a range of word-level characteristics of children’s vocabularies (word frequency, word length, neighborhood density, phonotactic probability). ... Keyword: Applied Developmental Psychology; Cognitive Linguistics; Cognitive Science; Computational Linguistics; Developmental Psychology URL: https://dx.doi.org/10.48448/1df5-gh29 https://underline.io/lecture/26622-are-explicit-frequency-counters-necessary-in-computational-models-of-early-word-segmentationquestion BASE Hide details 3 Chunks of phonological knowledge play a significant role in children’s word learning and explain effects of neighborhood size, phonotactic probability, word frequency and word length ... Cabiddu, Francesco; Jones, Gary; Andrews, Mark. - : Open Science Framework, 2021 BASE Show details 4 Does short-term memory develop? Jones, Gary; Justice, Lucy V.; Cabiddu, Francesco. - : Elsevier, 2020 BASE Show details

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