Natural Language Generation

What Does Natural Language Generation 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.

Techopedia Explains Natural Language Generation

Natural language generation is actually one of the frontiers of artificial intelligence. It is the idea that computers and technologies can take non-language sources — for example, Excel spreadsheets, videos, metadata and other sources — and create natural language outputs that seem human.

NLG and GPT-3

GPT-3 (Generative Pre-trained Transformer 3) is software designed by the OpenAI group to generate content copy. In contrast to many other artificial intelligence models, Generative Pre-trained Transformer models are able to perform well with very limited training data.


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Margaret Rouse

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical, business audience. Over the past twenty years her explanations have appeared on TechTarget websites and she's been cited as an authority in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine and Discovery Magazine.Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages. If you have a suggestion for a new definition or how to improve a technical explanation, please email Margaret or contact her…