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How do neural networks learn to understand and generate human language?
Neural networks used in NLP learn to understand and generate human language by processing large amounts of text data and adjusting their parameters through backpropagation to minimize prediction errors. They learn to capture semantic relationships, syntactic structures, and context dependencies within language.
