Current systems are prone to bias and incoherence, and occasionally behave erratically. NLP is growing increasingly sophisticated, yet much work remains to be done. Google uses NLP to improve its search engine results, and social networks like Facebook use it to detect and filter hate speech. The most sophisticated such agents - such as GPT-3, which was recently opened for commercial applications - can generate sophisticated prose on a wide variety of topics as well as power chatbots that are capable of holding coherent conversations. Conversational agents such as Amazon’s Alexa and Apple’s Siri utilize NLP to listen to user queries and find answers. NLP is an integral part of everyday life and becoming more so as language technology is applied to diverse fields like retailing (for instance, in customer service chatbots) and medicine (interpreting or summarizing electronic health records). Why Does Natural Language Processing (NLP) Matter? NLP is separate from - but often used in conjunction with - speech recognition, which seeks to parse spoken language into words, turning sound into text and vice versa. NLP can be divided into two overlapping subfields: natural language understanding (NLU), which focuses on semantic analysis or determining the intended meaning of text, and natural language generation (NLG), which focuses on text generation by a machine. It evolved from computational linguistics, which uses computer science to understand the principles of language, but rather than developing theoretical frameworks, NLP is an engineering discipline that seeks to build technology to accomplish useful tasks. Natural language processing (NLP) is the discipline of building machines that can manipulate human language - or data that resembles human language - in the way that it is written, spoken, and organized. What is Natural Language Processing (NLP) The latest AI models are unlocking these areas to analyze the meanings of input text and generate meaningful, expressive output. Recent years have brought a revolution in the ability of computers to understand human languages, programming languages, and even biological and chemical sequences, such as DNA and protein structures, that resemble language. Natural Language Processing (NLP) is one of the hottest areas of artificial intelligence (AI) thanks to applications like text generators that compose coherent essays, chatbots that fool people into thinking they’re sentient, and text-to-image programs that produce photorealistic images of anything you can describe.
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