Pat humanizes conversations with machines
How does this work?
Pat, the meaning matcher, parses straight to semantics combining the linguistic RRG Model with a proprietary neural network. Pat matches every word to the correct meaning based on the meanings of the other words in the sentence or story just like a 3 year old does without guesswork. As a result, language is broken down by meaning, storing only certainties like a human does, not probabilities.
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Professor Avideh Zakhor
Department of Computing Sciences, UC Berkley, PhD MIT
"Pat parses straight to meaning unlike any NLP/deep learning/linguistic solution out there. This ground breaking technology allows for a meaningful conversation with a machine.
Professor Robert Van Valin, Jr.
University of Düsseldorf & University at Buffalo, The State University of New York, PhD UC Berkeley
"Statistical systems can accomplish NLP to a considerable degree, but they can never achieve NLU, which involves meaning. The answer lies in linguistics. Pat Inc. solves that."
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