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Tightness of Trained RNN Language Models ( 1 0 pts ) In this question, we investigate the tightness of RNN language models based on the

Tightness of Trained RNN Language Models (10 pts)
In this question, we investigate the tightness of RNN language models based on the Elman RNN. We
will construct a non-tight RNN language model step-by-step to get a qualitative understanding of the
requirements for RNN language models to be tight and some scenarios when they can be non-tight.
First, recall the definition of the Elman RNN recurrence with the ReLU activation function and the
one-hot encoding function JK:

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