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  1. A Probabilistic Computational Model of Cross-Situational Word Learning.Afsaneh Fazly, Afra Alishahi & Suzanne Stevenson - 2010 - Cognitive Science 34 (6):1017-1063.
    Words are the essence of communication: They are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisition: Children must first learn words before they can combine them into complex utterances. Many theories have been developed to explain the impressive efficiency of young children in acquiring the vocabulary of their language, as well as the developmental patterns observed in the course of lexical acquisition. A major source of disagreement (...)
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  • The Emergence of Words: Attentional Learning in Form and Meaning.Terry Regier - 2005 - Cognitive Science 29 (6):819-865.
    Children improve at word learning during the 2nd year of life—sometimes dramatically. This fact has suggested a change in mechanism, from associative learning to a more referential form of learning. This article presents an associative exemplar-based model that accounts for the improvement without a change in mechanism. It provides a unified account of children's growing abilities to (a) learn a new word given only 1 or a few training trials (“fast mapping”); (b) acquire words that differ only slightly in phonological (...)
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  • Exploiting Multiple Sources of Information in Learning an Artificial Language: Human Data and Modeling.Pierre Perruchet & Barbara Tillmann - 2010 - Cognitive Science 34 (2):255-285.
    This study investigates the joint influences of three factors on the discovery of new word‐like units in a continuous artificial speech stream: the statistical structure of the ongoing input, the initial word‐likeness of parts of the speech flow, and the contextual information provided by the earlier emergence of other word‐like units. Results of an experiment conducted with adult participants show that these sources of information have strong and interactive influences on word discovery. The authors then examine the ability of different (...)
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  • Lexical competition and the acquisition of novel words.M. Gareth Gaskell & Nicolas Dumay - 2003 - Cognition 89 (2):105-132.
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  • Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner.Emmanuel Dupoux - 2018 - Cognition 173 (C):43-59.
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  • On the discovery of novel wordlike units from utterances: an artificial-language study with implications for native-language acquisition.Delphine Dahan & Michael R. Brent - 1999 - Journal of Experimental Psychology: General 128 (2):165.
  • Syntactic categorization in early language acquisition: formalizing the role of distributional analysis.Timothy A. Cartwright & Michael R. Brent - 1997 - Cognition 63 (2):121-170.
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  • Syntactic categorization in early language acquisition: formalizing the role of distributional analysis.Timothy A. Cartwright & Michael R. Brent - 1997 - Cognition 63 (2):121-170.
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  • Miller's monkey updated: Communicative efficiency and the statistics of words in natural language.Spencer Caplan, Jordan Kodner & Charles Yang - 2020 - Cognition 205 (C):104466.
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  • Varieties of consciousness.Paolo Bartolomeo & Gianfranco Dalla Barba - 2002 - Behavioral and Brain Sciences 25 (3):331-332.
    In agreement with some of the ideas expressed by Perruchet & Vinter (P&V), we believe that some phenomena hitherto attributed to processing may in fact reflect a fundamental distinction between direct and reflexive forms of consciousness. This dichotomy, developed by the phenomenological tradition, is substantiated by examples coming from experimental psychology and lesion neuropsychology.
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