When Suboptimal Behavior is Optimal and Why: Modeling the Acquisition of Noun Classes in Tsez
نویسندگان
چکیده
Children acquiring languages with noun classes (grammatical gender) have ample statistical information available that characterizes the distribution of nouns into these classes, but their use of this information to classify novel nouns differs from the predictions made by an optimal Bayesian classifier. We propose three models that introduce uncertainty into the optimal Bayesian classifier and find that all three provide ways to account for the difference between children’s behavior and the optimal classifier. These results suggest that children may be classifying optimally with respect to a distribution that doesn’t match the surface distribution of these statistical features.
منابع مشابه
Statistical Insensitivity in Theacquisition of Tsez Noun Classes
This article examines the acquisition of noun classes in Tsez, looking in particular at the role of noun-internal distributional cues to class. We present a new corpus of child-directed Tsez speech, analyzing it to determine the proportion of nouns that children hear with this predictive information and how often this is heard in conjunction with overt information about noun class agreement. Ad...
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