Arria NLG Receives Patent

By Chrissie Cluney March 17, 2016

Arria is a technology provider in Natural Language Generation (NLG). The company’s core product is known as the Arria NLG Platform. This is a form of artificial intelligence software, which specializes in extracting information from complex data sources and communicating that information in natural language.

Now, the US Patent and Trademark Office has given Arria its seventh patent for its Method And Apparatus For Referring Expression Generation. This platform of products automates the real-time analysis and delivery of reports and generates language that follows intuitive rules for how humans communicate and comprehend information.

“We believe that there are two key areas where this patent raises the bar in the quality of ‘humanized’ text generated from NLG technology,” said Stuart Rogers, Chairman and CEO, Arria NLG. “Firstly, anyone who wants to build an NLG system that communicates with users in a human manner is likely to need to implement the technology that this patent covers into their systems. Secondly, anyone wanting the Internet of Things to successfully talk naturally to users will likely need this technology.”

Arria NLG’s patents and patent applications cover critical NLG processes that they currently apply their to innovative applications. Its applications are also available in a range of SaaS (News - Alert)-delivered packaged applications.

The US patents also apply to Arria NLG's proprietary software development toolkit (SDK). The real value that the IoT creates is where the gathering of data and leveraging it meet. All the information gathered by all the sensors in the world isn't worth very much if there isn't an infrastructure in place to analyze it in real time and interpret it in real language.

Soon we will be able to communicate with robots and machines in the same manner in which we communicate with people, thanks to advancements like this one, expanding the possibilities of what can be accomplished in this world.




Edited by Ken Briodagh


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