Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
2576533 | International Congress Series | 2007 | 4 Pages |
Abstract
Recent research hypothesizes that the capacity for syntactic recursions forms the computational core of a uniquely human language faculty. Contrary to this hypothesis, Gentner et al. claimed that the capacity to classify sequences from recursive, center-embedded grammar is not uniquely human. We show in this paper that the patterns Gentner used are classified by a Bayesian classifier, a simple and fundamental classifier in machine learning, and consequently we claim that their argument is flawed.
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Authors
Yoshihiko Suhara, Akito Sakurai,