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Francesco Cabiddu

Biographic Data

ID2484508
NAMEFrancesco Cabiddu
GIVEN NAMESFrancesco
FAMILY NAMECabiddu
SIGNATURECABIDDU F
AFFILIATIONSNottingham Trent University
ORCID0000-0001-9692-4897
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS1
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2023
H-INDEX1
  • How the characteristics of words in child-directed speech differ from adult-directed speech to influence children’s productive vocabularies

    Open Access•Gary Jones, Francesco Cabiddu et al.•ARTICLE•First Language•2023

    Child-directed speech has long been known to influence children’s vocabulary learning. However, while we know that caregiver utterances differ from those directed at adults in various ways, little is known about any differences in the lexical properties of child-directed and adult-directed utterances. We compare over half a million word tokens from adult speech directed at children (from caregiver–child transcriptions) to the same quantity direct…

  • CLASSIC Utterance Boundary

    Open Access•Francesco Cabiddu, Lewis Bott et al.•ARTICLE•Language Learning•2023•Cited by: 1•References: 89

    Word segmentation is a crucial step in children's vocabulary learning. While computational models of word segmentation can capture infants' performance in small-scale artificial tasks, the examination of early word segmentation in naturalistic settings has been limited by the lack of measures that can relate models' performance to developmental data. Here, we extended CLASSIC (Chunking Lexical and Sublexical Sequences in Children; Jones et al., 2…

  • 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

    Open Access•Gary Jones, Francesco Cabiddu et al.•ARTICLE•Journal of Memory and Language•2021

  • Does short-term memory develop

    Open Access•Gary Jones, Lucy V Justice et al.•ARTICLE•Cognition•2020

  • CLASSIC Utterance Boundary

    Open Access•Francesco Cabiddu, Lewis Bott et al.•ARTICLE•Language Learning•2023•Cited by: 1•References: 89

    Word segmentation is a crucial step in children's vocabulary learning. While computational models of word segmentation can capture infants' performance in small-scale artificial tasks, the examination of early word segmentation in naturalistic settings has been limited by the lack of measures that can relate models' performance to developmental data. Here, we extended CLASSIC (Chunking Lexical and Sublexical Sequences in Children; Jones et al., 2…

  • Does short-term memory develop

    Open Access•Gary Jones, Lucy V Justice et al.•ARTICLE•Cognition•2020

  • 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

    Open Access•Gary Jones, Francesco Cabiddu et al.•ARTICLE•Journal of Memory and Language•2021

  • How the characteristics of words in child-directed speech differ from adult-directed speech to influence children’s productive vocabularies

    Open Access•Gary Jones, Francesco Cabiddu et al.•ARTICLE•First Language•2023

    Child-directed speech has long been known to influence children’s vocabulary learning. However, while we know that caregiver utterances differ from those directed at adults in various ways, little is known about any differences in the lexical properties of child-directed and adult-directed utterances. We compare over half a million word tokens from adult speech directed at children (from caregiver–child transcriptions) to the same quantity direct…

  • CLASSIC Utterance Boundary

    Open Access•Francesco Cabiddu, Lewis Bott et al.•ARTICLE•Language Learning•2023•Cited by: 1•References: 89

    Word segmentation is a crucial step in children's vocabulary learning. While computational models of word segmentation can capture infants' performance in small-scale artificial tasks, the examination of early word segmentation in naturalistic settings has been limited by the lack of measures that can relate models' performance to developmental data. Here, we extended CLASSIC (Chunking Lexical and Sublexical Sequences in Children; Jones et al., 2…

Computer Science (4 works) · Language Development and Disorders (4 works) · Psychology (4 works) · Reading and Literacy Development (4 works) · Artificial Intelligence (3 works) · Linguistics (3 works) · Natural language processing (3 works) · Artificial Intelligence (2 works) · Phonetics and Phonology Research (2 works) · Phonology (2 works)

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