Natural language generation is the use of artificial intelligence (AI) programming to produce spoken or written narratives from a data set (NLG). Natural language understanding (NLU), computational linguistics, and natural language processing (NLP) are all related to human-machine and machine-to-human interaction (NLU). NLG research usually concentrates on creating software that gives context to data points. Large volumes of numerical data may be mined using sophisticated NLG software, which can also spot trends and present the results in an understandable way. The speed of NLG software is particularly useful for creating news and other urgent articles for the internet.
The global Natural Language Generation Market was accounted for US$ 411.5 Mn in terms of value in 2019 and is expected to grow at CAGR of 21.2% for the period 2020-2027. Artificial intelligence (AI) that interprets the meaning underlying human language uses computational models. In order to comprehend the meaning of your words and the connections between concepts, it analyses the data generated by NLP. Language created by NLG sounds like human speech. NLU ensures that language that sounds human actually means anything. You receive an answer from a chatbot or voice assistant that makes perfect sense if the NLU does its job. The retail and ecommerce sector vertical is anticipated to continue to lead all other industry verticals throughout the projection period. The growing number of internet-connected gadgets has an effect on businesses because online retailers give their clients customised shopping experiences that resemble brick-and-mortar stores. Using vast amounts of consumer and product-related data, NLG tools and services may create original content and make product-related information more narrative. The expansion of the natural language generation is being fueled by the pressing need to understand consumer behaviour as well as the widespread use of big data and related technologies. Lack of qualified consultants delivering NLG solutions and services, as well as worries about data security and quality, are factors limiting the industry. The use of intelligent business processes is growing in popularity. provides an occasion Lack of knowledge about NLG solutions is one of the issues the market for natural language generatio faces. Artificial intelligence (AI) that interprets the meaning underlying human language uses computational models. In order to comprehend the meaning of your words and the connections between concepts, it analyses the data generated by NLP. Language created by NLG sounds like human speech. NLU ensures that language that sounds human actually means anything. You receive an answer from a chatbot or voice assistant that makes perfect sense if the NLU does its job. Despite the fact that we have a variety of skills that make us intelligent, language communication is the one that outperforms all others. We use language to communicate our ideas through a variety of means, and regardless of the medium, it is crucial that the recipient fully comprehends what we mean. Communication is made simple in the corporate world as well when it is done in straightforward natural language. What if we could create computer programmes that not only mimicked human speech but also responded to queries in that language? Using Natural Language Generation (NLG), it is possible to accomplish this.
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