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A Survey of Neural Networks and Formal Languages
Published 2 Jun 2020 in cs.CL | (2006.01338v1)
Abstract: This report is a survey of the relationships between various state-of-the-art neural network architectures and formal languages as, for example, structured by the Chomsky Language Hierarchy. Of particular interest are the abilities of a neural architecture to represent, recognize and generate words from a specific language by learning from samples of the language.
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