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The Fundamentals of NLP - Natural Language Processing

The act of creating meaningful phrases and sentences in the form of natural language is known as natural language processing (NLP).

The machine learning training algorithms for NLP examine millions of examples of text authored by people, including words, phrases, and paragraphs. The training algorithms learn about the "context" of human speech, writing, and other forms of communication by examining the examples.

Lexical (structure) analysis, parsing, semantic analysis, discourse integration, and pragmatic analysis are the five stages of NLP. Optical character recognition (OCR), speech recognition, machine translation, and chatbots are a few well-known NLP application fields.

The Persisting Myth behind Natural Language Generation

The technology that organizes, translates, and synthesizes data into understandable written text is known as natural language generation. NLG helps the computer organise a large number of variables and "place text into context," resulting in phrases and paragraphs that seem natural and follow English grammatical rules. You might find the KDNugget article titled Natural Language Generation overview - Is NLG Worth a Thousand Pictures helpful in this situation. quite instructive.