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Method for symbolic correction in human-machine interfaces

  • US 9,201,862 B2
  • Filed: 06/14/2012
  • Issued: 12/01/2015
  • Est. Priority Date: 06/16/2011
  • Status: Active Grant
First Claim
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1. A method for symbolic correction in human-machine interfaces said method comprising:

  • (a) implementing a language model;

    (b) implementing a hypothesis model;

    (c) implementing an error model; and

    (d) processing a symbolic input message using a hardware processor, said processing based on weighted finite-state transducers to encode

         1) a set of input hypothesis using said hypothesis model,

         2) said language model, and

         3) said error model in order to perform correction on said symbolic input message in the human-machine interface employing a probability of transition of the form P(t)=P(LM, EM, HM|t)=P(LM|t)P(EM|t)P(HM|t) with tropical semiring WFSTs (custom character, ⊕

    , custom character, 0, 1).

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