Natural Language Generation, a relatively new sub-discipline of Artificial Intelligence, focuses on using data to automatically generate text. Wherever structured data is generated – in e-commerce, at the stock exchange, or in reporting of sports, elections, or weather, for instance – Retresco’s NLG software textengine.io creates high-quality, reader-friendly texts from data – texts so natural, they read as though they were written by a human being.
With the release of a groundbreaking new feature called text variants suggestion, Retresco is now taking natural language generation to the next level: textengine.io now independently suggests high-quality texts based on a sample sentence entered – within milliseconds, at the touch of a button, and without any complicated setup by the user.
The automatically generated texts can be adopted either partially or completely and can also be revised at any time. Human and machine thus work hand in hand: the software generates data-based text suggestions, while the human user ultimately decides how to use them.