![]() The uncertainties in human language make it extremely difficult to build software that properly identifies the intended meaning of text or speech input. Learn to code from industry experts! Enroll here However, NLP is increasingly being used in enterprise solutions to help streamline business operations, boost employee productivity, and simplify mission-critical business processes. You’ve probably encountered NLP in the form of voice-activated GPS systems, digital assistants, speech-to-text dictation software, customer service chatbots, and other consumer conveniences. ![]() When these technologies are coupled, computers can interpret human language in the form of text or speech data and ‘understand’ its whole meaning, replete with the purpose and mood of the speaker or writer.NLP powers computer programs that translate text from one language to another, respond to spoken commands, and quickly summarize large amounts of text-even in real-time. NLP combines computational linguistics (human language rule-based modeling) with statistical, machine learning, and deep learning models. Natural language processing (NLP) is the branch of computer science-specifically, the branch of artificial intelligence or AI-concerning giving computers the ability to understand the text and spoken words in the same way that humans do.
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