What is the Chomsky hierarchy?
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The Chomsky hierarchy is a classification system for formal languages in theoretical computer science. It categorizes languages into different levels based on their generative power. At each level of the hierarchy, there are corresponding classes of grammars that can generate those languages. The hierarchy includes probabilistic regular, context-free, (linear) indexed, context-sensitive, and unrestricted grammars, each corresponding to familiar probabilistic machine classes. The hierarchy is important for understanding the expressive power of generative models and the limits of neural network generalization. It has been used to predict the ability of certain architectures to generalize to out-of-distribution inputs.
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Open access•Posted Content | The paper does not provide a direct explanation of the Chomsky hierarchy. |
| The Chomsky hierarchy is mentioned in the abstract of the paper, but it is not explicitly defined or explained. | |
| The Chomsky hierarchy is mentioned in the paper. It is used to group tasks and predict the limits of neural network generalization. | |
| The Chomsky hierarchy categorizes the allowed relationships between terminals and non-terminals in a grammar. | |
| The paper does not provide a direct explanation of the Chomsky hierarchy. |
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