Natural Language Generation

Natural Language Generation (NLG) is the process of automatically generating text as an extension to the given text. It takes the given text as an input and extends it with a text that has been automatically generated. The main advance in the latest breakthrough technology here is that the text is generated in a more natural way, resembling the language of humans, and has a preserved context that is initiated in the given text input.

The natural language generation technology is still in its early stages, but it has already shown promising results. The text that is generated by this technology is more fluent and resembles human language more closely than ever before. There are many potential applications for this technology, including machine translation

NLG is used to create documents, messages, and other texts that need to be linguistically rich.

The texts that are generated with today’s tools can be long up to 5k words. The content of the text is controlled by the user and it is possible to generate texts on any topic.

NLG technology is mainly used to generate text for customer service purposes, such as chatbots, and to automate reports and other documents. NLG can also be used to generate dialogue in video games and other simulated environments.

Currently, NLG technology is widely used by the content creators of social media platforms to automate the process of generating texts that accompany pictures and videos.

One of the main advantages of NLG technology is that it can be used to create texts in multiple languages. The text can be generated in the same language as the input or in a different language.

The generation of natural language is made possible by means of grammar rules and a large data set of phrases that have been manually annotated.

The technology is constantly being improved, and the aim is to create a text generation system that is able to understand the context of the text and generate a text that is tailored to the specific needs of the user.