{"id":986,"date":"2023-06-16T06:16:38","date_gmt":"2023-06-16T06:16:38","guid":{"rendered":"https:\/\/www.rupexy.com\/?p=986"},"modified":"2023-06-30T08:44:41","modified_gmt":"2023-06-30T08:44:41","slug":"a-beginners-guide-to-understanding-natural-language-generation","status":"publish","type":"post","link":"https:\/\/www.rupexy.com\/a-beginners-guide-to-understanding-natural-language-generation\/","title":{"rendered":"A Beginner’s Guide to Understanding Natural Language Generation"},"content":{"rendered":"\n
Natural language generation (NLG) is a subfield of artificial intelligence (AI) that deals with the automatic creation of human-like text. NLG systems are used in a wide variety of applications, including chatbots, machine translation, and text summarization.<\/p>\n\n\n\n
NLG systems typically work by first understanding the input data, which can be in the form of text, speech, or other forms of data. Once the input data is understood, the NLG system will generate text that is consistent with the input data.<\/p>\n\n\n\n
NLG is a challenging problem because human language is complex and nuanced. However, NLG systems have made significant progress in recent years, and they are now used in a wide variety of applications.<\/p>\n\n\n\n
NLG systems typically work in three steps:<\/p>\n\n\n\n
There are two main types of NLG systems: rule-based NLG systems and statistical NLG systems.<\/p>\n\n\n\n
Rule-based NLG systems<\/strong> use a set of rules to generate text. The rules are typically written by a human expert. Rule-based NLG systems are relatively easy to develop, but they can be difficult to maintain and update.<\/p>\n\n\n\n Statistical NLG systems<\/strong> use machine learning to generate text. Statistical NLG systems are typically trained on a large corpus of text. Statistical NLG systems are more difficult to develop than rule-based NLG systems, but they can generate more natural-sounding text.<\/p>\n\n\n\n NLG systems are used in a wide variety of applications, including:<\/p>\n\n\n\n NLG is a challenging problem because human language is complex and nuanced. Some of the challenges in NLG include:<\/p>\n\n\n\n NLG is a rapidly evolving field. There are a number of promising new research directions in NLG, including:<\/p>\n\n\n\n NLG is a powerful technology that can be used in a wide variety of applications. NLG systems are becoming increasingly sophisticated, and they are likely to play an even greater role in our lives in the future.thumb_upthumb_downuploadGoogle itmore_vert<\/p>\n","protected":false},"excerpt":{"rendered":" Introduction Natural language generation (NLG) is a subfield of artificial intelligence (AI) that deals with the automatic creation of human-like text. NLG systems are used in a wide variety of applications, including chatbots, machine translation, and text summarization. NLG systems typically work by first understanding the input data, which can be in the form of […]<\/p>\n","protected":false},"author":57,"featured_media":987,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[152],"tags":[54,699],"_links":{"self":[{"href":"https:\/\/www.rupexy.com\/wp-json\/wp\/v2\/posts\/986"}],"collection":[{"href":"https:\/\/www.rupexy.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.rupexy.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.rupexy.com\/wp-json\/wp\/v2\/users\/57"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rupexy.com\/wp-json\/wp\/v2\/comments?post=986"}],"version-history":[{"count":1,"href":"https:\/\/www.rupexy.com\/wp-json\/wp\/v2\/posts\/986\/revisions"}],"predecessor-version":[{"id":988,"href":"https:\/\/www.rupexy.com\/wp-json\/wp\/v2\/posts\/986\/revisions\/988"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.rupexy.com\/wp-json\/wp\/v2\/media\/987"}],"wp:attachment":[{"href":"https:\/\/www.rupexy.com\/wp-json\/wp\/v2\/media?parent=986"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.rupexy.com\/wp-json\/wp\/v2\/categories?post=986"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.rupexy.com\/wp-json\/wp\/v2\/tags?post=986"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Applications of NLG<\/h2>\n\n\n\n
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Challenges in NLG<\/h2>\n\n\n\n
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Future Trends in NLG<\/h2>\n\n\n\n
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Conclusion<\/h2>\n\n\n\n