Natural Language Generation (NLG) refers to the automated generation of natural language by a machine. As a part of computational linguistics, the generation of content is a special form of artificial intelligence. Natural language generation is used in many sectors and for many purposes, such as e-commerce, financial services, and pharmacy sector. It is seen to be most effective to automate repetitive and time-intensive writing tasks like product descriptions, reports or personalized content. Learn more about Natural Language Generation (NLG).

Dec. 27, 2023

Automated content generation with AX Semantics works with the help of Natural Language Generation (NLG) - a technology that generates high-quality and unique content on the basis of structured data that is
indistinguishable from manually written content. Text automation is used for generating product descriptions, category content, financial and sport reports or content for search engines websites. In a nutshell, it is used for all kinds of content that require large quantities and have a similar basic structure.

Dec. 27, 2023

With the help of automated content generation, you can save up to 80% of the time used for repetitive writing tasks. By automating the repetitive bits of the content creation, human productivity will increase significantly. As a result, it is possible to create unique and customized content of large quantities - in 110 languages. In this way, new content formats are created and the days of duplicated content or content of low quality are over. Take a look at the succes stories of our customers!

Dec. 27, 2023

An article generator is an AI-powered program that automatically creates content. If it is a GPT tool, it is often a free article generator tool that relies on deep learning to create relevant text. This content creation software can mimic human writing through a style transfer system.
On the other hand, some platforms are Data-to-Text NLG. They take information from a database and turn it into readable text. These tools can cover just about any topic, and you can customize the software to include specific details. Read more about the differences between Data-to-Text and GPT.

Dec. 27, 2023