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Words in puddles of sound

Modelling psycholinguistic effects in speech segmentation

Dados Bibliográficos

ID20366706
AutoresP Monaghan (0000-0003-3965-2682, Lancaster University, autor correspondente), Morten H Christiansen (0000-0002-3850-0655, Cornell University)
Ano2010
Volume37
Fascículo3
Páginas545-564
Data de publicação2010-06-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoJournal of Child Language (JOURNAL)
Identificadores do periódicoISSN: 0305-0009 • E-ISSN: 1469-7602
EditoraCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0305000909990511
PMID20307344
OpenAlexW2165348108
IdiomaEN
Citações recebidas23
Referências citadas33

There are numerous models of how speech segmentation may proceed in infants acquiring their first language. We present a framework for considering the relative merits and limitations of these various approaches. We then present a model of speech segmentation that aims to reveal important sources of information for speech segmentation, and to capture psycholinguistic constraints on children's language perception. The model constructs a lexicon based on information about utterance boundaries and deduces phonotactic constraints from the discovered lexicon. Compared to other models of speech segmentation, our model performs well in terms of accuracy, computational tractability and the number of components of the model. Finally, our model also reflects the psycholinguistic effects of language learning, in terms of the early advantage for segmentation provided by the child's name, and by revealing the overlap in usefulness of information for segmentation and for grammatical categorization of the language

Acoustics · Cognition · Cognitive psychology · Linguistics · Phonetics · Psycholinguistics · Communication · Language Development and Disorders · Neuroscience · Phonetics and Phonology Research · Psychology · Speech and dialogue systems

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Obras citantes distintas23
Citações por ano1,64
Intervalo de citações2012 - 2025 (14)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 21
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