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Statistical natural language understanding using hidden clumpings

  • US 5,987,404 A
  • Filed: 01/29/1996
  • Issued: 11/16/1999
  • Est. Priority Date: 01/29/1996
  • Status: Expired due to Fees
First Claim
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1. A method for performing natural language understanding, comprising:

  • a training phase, comprising;

    providing a first sentence E of a given language;

    providing the meaning S of sentence E;

    generating a translation model by summing a probability of correctness over one or more possible alignments and clumpings between sentence E and meaning S, wherein the actual alignment and clumping are not known, to produce the probabilities of the translation model'"'"'s parameters;

    producing the probability distributions of the alignment and storing the probability distributions;

    an understanding phase, comprising;

    inputting a second sentence to be understood;

    producing, based upon the probability distributions, the meaning of the second sentence, wherein the probability distribution assumes that the sentence E is generated under predetermined semantic rules in non-overlapping substrings such that each substring of the sentence E is generated by one concept in a semantic library, and wherein a set of substrings is called a clumping.

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