Comparing gated and simple recurrent neural network architectures as models of human sentence processing
Summary
Comparing gated and simple recurrent neural network architectures as models of human sentence processing is a scholarly article[1].
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Comparing gated and simple recurrent neural network architectures as models of human sentence processing's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Comparing gated and simple recurrent neural network architectures as models of human sentence processing. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparing-gated-and-simple-recurrent-neural-network-architectures-as-models-of-human-sentence-processing
MLA“Comparing gated and simple recurrent neural network architectures as models of human sentence processing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparing-gated-and-simple-recurrent-neural-network-architectures-as-models-of-human-sentence-processing.
BibTeX@misc{4ortxyz_comparing-gated-and-simple-recurrent-neural-network-architectures-as-models-of-human-sentence-processing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparing gated and simple recurrent neural network architectures as models of human sentence processing}}, year = {2026}, url = {https://4ort.xyz/entity/comparing-gated-and-simple-recurrent-neural-network-architectures-as-models-of-human-sentence-processing}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparing gated and simple recurrent neural network architectures as models of human sentence processing — https://4ort.xyz/entity/comparing-gated-and-simple-recurrent-neural-network-architectures-as-models-of-human-sentence-processing (retrieved 2026-05-24)