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System and method for natural language processing

  • US 10,395,647 B2
  • Filed: 10/26/2017
  • Issued: 08/27/2019
  • Est. Priority Date: 10/26/2017
  • Status: Active Grant
First Claim
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1. A system for improving accuracy of natural language processing, the system comprising:

  • a natural language input device;

    a plurality of speech recognition engines for automatic speech recognition functions only, the plurality of speech recognition engines being connected to the input device, the plurality of speech recognition engines receive an input from the input device and presents a speech recognition result as part of a set of speech recognition results;

    a data fusion model to receive the set of speech recognition results and to identify a correct result from the set of speech recognition results, the correct result being identified as a result in the set of speech recognition results that has the highest probability of being a correct result from the plurality of speech recognition engines;

    the data fusion model to receive all of the speech recognition results and to determine a correct result from speech recognition results, the determined correct result being selected from a result in the set of speech recognition results that has a low probability of being a correct result and is manually determined to be a normal expression of the input from the input device;

    a semantic understanding model, separate and distinct from the plurality of speech recognition engines, to process the identified correct result and the determined correct result;

    a corpora created from the processed correct result;

    a corpus arranged from a plurality of the corpora; and

    the data fusion model being updated by the corpus.

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