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Natural Language Processing (NLP) enables AI to understand, Interpret, and generate human language by using a combination of linguistic sules, machine lerning, and deep learing techniques. Here's how it works:

  1. Tokenization & Text Processing - NLP breaks down into smaller units (words or Phrases) to analyze structure and meaning.
  2. Syntax & grammer Analysis - AI uses parsing to understand sentances structure and relationship between words.
  3. Semantic understanding - Techniques like word embeddings (word2vec, BERT) help AI grasp meanings, context and relationship with words.
  4. Context & Sentiment Analysis - NLP models recognize emotions, intent and nuances using sentiment analysis and contextual modeling.
  5. Named Entity Recognition (NER) - Identifies name, place, date and other impotant entitites within text.
  6. Machine Learning & Deep Learning - AI models are trained on vast datasets to recognize pattern and improve overtime, enhancing comprehensive and response accurately.
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Kavitaa Dutt

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Q: How does natural language processing (NLP) enable AI to understand human language?
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