The term "natural language generation (NLG)" belongs to the category of artificial intelligence and is at home in the fields of automation, big data and smart data. In short, NLG refers to the automatic creation of comprehensible texts by computer programmes.
The aim of natural language generation is to process large amounts of data in such a way that readable texts are produced - almost as if they had been written by a human. Typical areas of application include automatic weather reports, financial analyses or summaries of large amounts of data.
Imagine a software programme receives sales figures from several regions and has to create a report from them. NLG enables the system to analyse these figures and create a comprehensible text: "In May, sales in southern Germany rose by 10 percent, while they fell by 5 percent in the north."
With natural language generation, companies can create reports faster and more efficiently, avoid errors and reduce the workload of employees. NLG ensures that the most important findings are presented quickly and clearly, especially with large amounts of data. This turns facts and figures into a clear text that everyone understands in seconds.
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