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In today’s data-driven world, the ability to generate human-like text programmatically has become increasingly valuable. Whether it’s auto-generating product descriptions, crafting personalized messages, or even generating entire articles like this one, Natural Language Generation (NLG) powered by Python offers a myriad of possibilities.
Understanding Natural Language Generation
Natural Language Generation (NLG) is a branch of artificial intelligence (AI) that focuses on generating natural language text output from structured data. Unlike Natural Language Processing (NLP), which involves understanding and interpreting human language, NLG is all about creating coherent and contextually relevant text.
NLG systems typically take structured data inputs, such as templates, rules, or statistical models, and transform them into human-readable text. These systems can range from simple rule-based approaches to sophisticated machine learning algorithms that learn patterns from vast amounts of data.
