This article uses the hypothesis that language must balance predictability and informativeness to segment syllable streams into words. It shows that this method works somewhat better and more intuitively than its competing candidate for children's method of achieving word cognition. It further shows that syllable statistics fall within a specified range and argues that borderline cases are either victims of over-fitting or likely candidates for language change.

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