What Does Natural Language Generation (NLG) Mean?
Natural language generation (NLG) is the sub-category of artificial intelligence (AI) that uses machine learning (ML) algorithms to analyze a collection of discrete digital inputs and summarize them by producing text that appears to be written by a human.
NLG algorithms rely on computational linguistics, natural language processing (NLP) and natural language understanding (NLU) to autonomously transform structured data into human-readable text. The goal of NLG is to programmatically produce narratives that are capable of passing a Turing test.
Traditional NLG use cases include mail merge, report generation and templated content creation. When used in conjunction with NLP and the internet of things (IoT), natural language generation can provide end users with personalized -- and hopefully correct -- responses to chatbot and virtual assistant queries.