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Code and data for Aurnahmmer & Frank (2019): Comparing gated and simple recurrent neural network architectures as models of human sentence processing

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Code for the research discussed in "Comparing gated and simple recurrent neural network architectures as models of human sentence processing" (Aurnhammer & Frank, 2019).

Citation: Aurnhammer, C., & Frank, S. L. (2019). Comparing gated and simple recurrent neural network architectures as models of human sentence processing. In Proceedings of the 41st Annual Conference of the Cognitive Science Society (pp. 112-118). Austin, TX: Cognitive Science Society.

RNN code (in Python) in directory rnns/ .

Statistical analysis code (in Julia) in directory analysis/ .

Data used in this research available for download at https://osf.io/pnv4h/

See the directories for more detailed readme files.

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Code and data for Aurnahmmer & Frank (2019): Comparing gated and simple recurrent neural network architectures as models of human sentence processing

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