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Found 4 papers, 2 papers with code
MLRegTest: A Benchmark for the Machine Learning of Regular Languages
Evaluating machine learning (ML) systems on their ability to learn known classifiers allows fine-grained examination of the patterns they can learn, which builds confidence when they are applied to the learning of unknown classifiers.
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text
For some dimensions in the context vector, we show that their activations are highly correlated with the depth of phrase structures, such as VP and NP.
Subregular Complexity and Deep Learning
Learning experiments were conducted with two types of Recurrent Neural Networks (RNNs) on six formal languages drawn from the Strictly Local (SL) and Strictly Piecewise (SP) classes.
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