ruhiparveen
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Machine Learning for human language involves using algorithms to enable computers to understand, interpret, and generate human language. This field, known as Natural Language Processing (NLP), applies machine learning techniques to analyze text and speech data, allowing systems to perform tasks such as translation, sentiment analysis, and text generation. Machine learning models, trained on vast datasets, learn patterns and nuances in language, improving their ability to handle various linguistic tasks. Applications include chatbots, language translation services, and voice-activated assistants, which rely on these models to interact effectively and meaningfully with users.