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How does machine learning contribute to NLP?

The question is about nlp

Answer

Machine learning is a core component of NLP, enabling systems to learn from data and improve their performance over time. It involves training algorithms on large datasets to recognize patterns and make predictions. In NLP, machine learning models are used for tasks such as text classification, language translation, and sentiment analysis. Deep learning, a subset of machine learning, has significantly advanced NLP through models like RNNs and transformers, which can process sequential data and capture complex language structures. Machine learning allows NLP systems to adapt to new data and contexts, enhancing their accuracy and effectiveness.

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