1.  22
    Erik D. Thiessen (2010). Effects of Visual Information on Adults' and Infants' Auditory Statistical Learning. Cognitive Science 34 (6):1093-1106.
    Infant and adult learners are able to identify word boundaries in fluent speech using statistical information. Similarly, learners are able to use statistical information to identify word–object associations. Successful language learning requires both feats. In this series of experiments, we presented adults and infants with audio–visual input from which it was possible to identify both word boundaries and word–object relations. Adult learners were able to identify both kinds of statistical relations from the same input. Moreover, their learning was actually facilitated (...)
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  2.  10
    Erik D. Thiessen & Philip I. Pavlik (2013). iMinerva: A Mathematical Model of Distributional Statistical Learning. Cognitive Science 37 (2):310-343.
    Statistical learning refers to the ability to identify structure in the input based on its statistical properties. For many linguistic structures, the relevant statistical features are distributional: They are related to the frequency and variability of exemplars in the input. These distributional regularities have been suggested to play a role in many different aspects of language learning, including phonetic categories, using phonemic distinctions in word learning, and discovering non-adjacent relations. On the surface, these different aspects share few commonalities. Despite this, (...)
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  3. Erik D. Thiessen & Lucy C. Erickson (2013). Discovering Words in Fluent Speech: The Contribution of Two Kinds of Statistical Information. Frontiers in Psychology 3.
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