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October 3, 2013 10:45 am GMT
With an increasing number of commercial applications relying on its technology, natural language processing (NLP) has started to come into its own of late. After years of research and experimentation, it has emerged from geeky obscurity and into the limelight -- thanks to Watson, Siri and Nuance's Dragon, among others. Of course, every time Siri misunderstands a command, it's easy to dismiss those aforementioned decades of progress, curse technology and chalk it all up to hype.
Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/MPVeDx41tu4/
Siri 2.0? Skyphrase Wants To Make Data More Accessible With Natural Language, Starting With Analytics & Fantasy Sports
With an increasing number of commercial applications relying on its technology, natural language processing (NLP) has started to come into its own of late. After years of research and experimentation, it has emerged from geeky obscurity and into the limelight -- thanks to Watson, Siri and Nuance's Dragon, among others. Of course, every time Siri misunderstands a command, it's easy to dismiss those aforementioned decades of progress, curse technology and chalk it all up to hype. Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/MPVeDx41tu4/
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