A new company formed to commercialise 'artificial intelligence' technology developed at the
University spin-out Data2Text was acquired by commercialisation specialist Arria earlier this year. The resulting company
Global industries need to capture, process, understand and use an increasing amount of 'big data'. NLG is a form of artificial intelligence developed to communicate information extracted from complex data sources in natural language, automatically generating written reports in potentially any language.
The Arria NLG Engine which automatically communicates results, not in numbers or graphics that require further analysis and explanation, but in narratives that are designed to read as if written by a human expert.
The technology is already being used by the
This is another example of the excellent research at the
The scientific foundation for the Arria NLG Engine has been developed over the past four years, but is based on more than 20 years of research and knowledge gained by the Data2Text founders at the
Scientist and entrepreneur
"Over the years I've worked on many research projects which have raised questions such as whether (for ordinary people, not dictionary writers) "grammar mistakes" include spelling errors, and whether the time we call "by evening" depends on sunset time. It's fantastic for me to see an endeavour which started off as an almost philosophical investigation turning into a successful company which is now listed on AIM.
"The company's goal is to build 'articulate machines' which communicate with people in the same way that other people do. When two engineers or doctors communicate, they may share numbers and graphs, but the core of the communication will be in language, and our goal is to enable articulate machines to communicate in exactly the same way. To do this, we combine artificial intelligence technology (which analyses the data and identifies the most important information for the recipient user) and computational linguistics technology (which transforms the selected key information into sentences in English or other languages). Plus of course a lot of software engineering to ensure that the system is reliable and robust."
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