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  1. Learning phonetic categories by learning a lexicon.Naomi H. Feldman, Thomas L. Griffiths & James L. Morgan - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
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  • A computational model of word segmentation from continuous speech using transitional probabilities of atomic acoustic events.Okko Räsänen - 2011 - Cognition 120 (2):149-176.
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  • (1 other version)Infant sensitivity to distributional information can affect phonetic discrimination.Jessica Maye, Janet F. Werker & LouAnn Gerken - 2002 - Cognition 82 (3):B101-B111.
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  • Pitch accent in context predicting intonational prominence from text.Julia Hirschberg - 1993 - Artificial Intelligence 63 (1-2):305-340.
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  • Segmenting dynamic human action via statistical structure.Dare Baldwin, Annika Andersson, Jenny Saffran & Meredith Meyer - 2008 - Cognition 106 (3):1382-1407.
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  • A Mathematical Theory of Communication.Claude Elwood Shannon - 1948 - Bell System Technical Journal 27 (April 1924):379–423.
    The mathematical theory of communication.
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  • Visual speech contributes to phonetic learning in 6-month-old infants.Tuomas Teinonen, Richard N. Aslin, Paavo Alku & Gergely Csibra - 2008 - Cognition 108 (3):850-855.
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  • Infants rapidly learn word-referent mappings via cross-situational statistics.Linda Smith & Chen Yu - 2008 - Cognition 106 (3):1558-1568.
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  • Reaction time to phoneme targets as a function of rhythmic cues in continuous speech.Joyce L. Shields, Astrid McHugh & James G. Martin - 1974 - Journal of Experimental Psychology 102 (2):250.
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  • Statistical learning of tone sequences by human infants and adults.Jenny R. Saffran, Elizabeth K. Johnson, Richard N. Aslin & Elissa L. Newport - 1999 - Cognition 70 (1):27-52.
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  • (1 other version)Phonetic details in perception and production allow various patterns in phonological change.Jessica Maye, Janet F. Werker & LouAnn Gerken - 2002 - Cognition 82 (3):B101-B111.
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  • How Many Mechanisms Are Needed to Analyze Speech? A Connectionist Simulation of Structural Rule Learning in Artificial Language Acquisition.Aarre Laakso & Paco Calvo - 2011 - Cognitive Science 35 (7):1243-1281.
    Some empirical evidence in the artificial language acquisition literature has been taken to suggest that statistical learning mechanisms are insufficient for extracting structural information from an artificial language. According to the more than one mechanism (MOM) hypothesis, at least two mechanisms are required in order to acquire language from speech: (a) a statistical mechanism for speech segmentation; and (b) an additional rule-following mechanism in order to induce grammatical regularities. In this article, we present a set of neural network studies demonstrating (...)
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  • Control of goal-directed and stimulus-driven attention in the brain.M. Corbetta & G. L. Shulman - 2002 - Nature Reviews Neuroscience 3 (3):201-215.
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  • Analogical Episodes are More Likely to be Blended than Superficially Similar Ones.Veselina Feldman & Boicho Kokinov - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
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