• DOI:10.1109/ICNN.1996.549183
Corpus ID: 14889627

Can recurrent neural networks learn natural language grammars?

@article{Lawrence1996CanRN,
  title={Can recurrent neural networks learn natural language grammars?},
  author={S. Lawrence and C. L. Giles and Sandiway Fong},
  journal={Proceedings of International Conference on Neural Networks (ICNN'96)},
  year={1996},
  volume={4},
  pages={1853-1858 vol.4}
}

• S. Lawrence, C. L. Giles, Sandiway Fong
• Published 1996
• Computer Science
• Proceedings of International Conference on Neural Networks (ICNN'96)

Recurrent neural networks are complex parametric dynamic systems that can exhibit a wide range of different behavior. We consider the task of grammatical inference with recurrent neural networks. Specifically, we consider the task of classifying natural language sentences as grammatical or ungrammatical: can a recurrent neural network be made to exhibit the same kind of discriminatory power which is provided by the principles and parameters linguistic framework, or government and binding theory… Expand

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