The software system generates narratives and reports based on input data. It can also translate this text into audible speech. Here is a list of the top companies providing natural language generation services. About: Arria NLG is a form of artificial intelligence that transforms structured data into natural language. Through data analysis, knowledge automation, language generation and tailored information delivery, Arria software replicates the human process of expertly analysing and communicating data insights. The Arria NLG Platform automatically writes rich, compelling narratives based on insights extracted from datasets.

It took a while, but natural language generation is now an established commercial software category. It's commented upon frequently in both industry media and the mainstream press, and businesses are willing to pay hard cash to take advantage of the technology. We look at who's active in the space, the nature of the technology that's available today, and where things might go in the future. A version of this article will appear in a forthcoming issue of the Journal of Natural Language Engineering. If you want to keep up with what's happening in the Natural Language Processing industry, subscribe to This Week in NLP.

"I would say everyone has read at least once an algorithmically produced article," said Robert Weissgraeber, CTO and Managing Director of AX Semantics. In many cases, readers don't see a difference between human- and bot-authored copy, Weissgraeber told Built In. His company, AX Semantics, is one of several -- including Narrative Science and Automated Insights -- exploring natural language generation, or automated writing. The technology can be used to generate product descriptions, quarterly earnings reports, fantasy football recaps and journalism. The Washington Post, for instance, has developed an AI-enabled bot, Heliograf, that helps generate election and sports coverage.

AX Semantics an artificial intelligence (AI)-powered, natural language generation (NLG) company said it could create AI-produced content in more than 110 languages. The Stuttgart-based company which launched in the US today, 12 December 2019 already works with hundreds of customers, including several Fortune 500 companies such as Deloitte for BSS reporting, Porsche and Nestlé. The demand for digital content continues to rise. And technology like AI is considered to be instrumental in helping companies keep pace. The global NLG market size is expected to reach $1,150.9

Ever since the Associated Press automated the production and publication of quarterly earnings reports in 2014, algorithms that automatically generate news stories from structured, machine-readable data have been shaking up the news industry. The promises of this technology – often referred to as automated (or robot) journalism – are enticing: Once developed, such algorithms could create an unlimited number of news stories on a specific topic at little cost. And they could do it faster, cheaper, with fewer errors and in more languages than any human journalist ever could. This technology provides an opportunity to make money creating content for very small audiences – even, perhaps, customized news feeds for an audience of just one person. And when it works well, readers perceive the quality of automated news as on par with news written by human journalists. As a researcher and creator of automated journalism, I've found that computerized news reporting can offer key strengths.