The answer
Due to vanishing gradients, the network forgets words at the beginning of a long sentence by the time it reaches the end.
What are Recurrent Neural Networks (RNN) and LSTM?
Why do standard RNNs struggle with long sentences?
More FAQs in What are Recurrent Neural Networks (RNN) and LSTM?
They are widely used for machine translation, speech-to-text, sentiment analysis, and time-series forecasting.
The Cell State acts like a conveyor belt, allowing information to flow down the sequence with minimal modification.
No, Transformer models have mostly replaced RNNs because they process words in parallel, making training much faster.
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