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Infants generalize representations of statistically segmented words.
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Studying the effect of input size for Bayesian word segmentation on the providence corpus
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A Bayesian framework for word segmentation : exploring the effects of context
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Unsupervised Extraction of Recurring Words from Infant-Directed Speech
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In: http://csjarchive.cogsci.rpi.edu/Proceedings/2011/papers/0462/paper0462.pdf
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Unsupervised Extraction of Recurring Words from Infant-Directed Speech
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In: http://www.cstr.inf.ed.ac.uk/downloads/publications/2011/mcinnes_cogsci2011.pdf
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Unsupervised Extraction of Recurring Words from Infant-Directed Speech
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In: http://homepages.inf.ed.ac.uk/sgwater/papers/cogsci11_wordextract.pdf
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Studying the effect of input size for Bayesian Word Segmentation on the Providence Corpus
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In: http://aclweb.org/anthology/C/C12/C12-1021.pdf
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Modeling Human Performance in Statistical Word Segmentation
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In: http://cocosci.berkeley.edu/tom/papers/wordseg2.pdf
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Modeling Human Performance in Statistical Word Segmentation
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In: http://www.stanford.edu/~sgwater/papers/cogsci07_final.pdf
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Keywords: language acquisition, word segmentation, phonotactics, labial-coronal
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In: http://lpp.psycho.univ-paris5.fr/pdf/3443.pdf
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