(R)NNs too expressive?: No relationship between neural architectures' theoretical expressivity and their empirical performance
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This work investigates why recurrent neural networks (RNNs) tend to learn phonological patterns that are unattested or dispreferred by humans. Specifically, we explore the hypothesis that their over-generation is caused by their excess expressive capacity - th... ...
