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A Survey of Neural Networks and Formal Languages

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arxiv 2006.01338 v1 pith:DFIKMGG5 submitted 2020-06-02 cs.CL

Joshua Ackerman , George Cybenko This is my paper · ORCID
classification cs.CL
keywords languageneuralformallanguagessurveyabilitiesarchitecturearchitectures
verification ladder T0 review T1 audit T2 compute T3 formal
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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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Cited by 1 Pith paper

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  1. Emergent Stack Representations in Modeling Counter Languages Using Transformers

    cs.CL 2025-02 conditional novelty 4.0 of 10

    A small transformer trained on counter languages encodes the current stack depth in its final-layer activations, recoverable by simple probing classifiers.

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