How is deep learning used in natural language processing?

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Deep learning is used in natural language processing (NLP) to enhance tasks like language translation, sentiment analysis, and chatbots. Models such as recurrent neural networks (RNNs) and transformers process sequences of words to understand context and meaning. Deep learning enables NLP systems to achieve high accuracy and adapt to various languages and dialects. By learning from large text datasets, these models can capture complex linguistic patterns, improving the quality of machine translation and enabling more natural interactions in conversational AI.

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