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Method for dynamic context scope selection in hybrid N-gram+LSA language modeling

  • US 7,191,118 B2
  • Filed: 08/12/2004
  • Issued: 03/13/2007
  • Est. Priority Date: 03/10/2000
  • Status: Expired due to Fees
First Claim
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1. A method of dynamic language modeling of a document comprising:

  • computing a plurality of local probabilities of a current document;

    determining a vector representation of the current document in a latent semantic analysis (LSA) space, wherein the current document has a dynamic scope determined by discounting previously observed words according to an exponential function;

    computing a plurality of global probabilities based upon the vector representation of the current document in an LSA space; and

    combining the local probabilities and the global probabilities to produce the language modeling.

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