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

  • US 6,477,488 B1
  • Filed: 03/10/2000
  • Issued: 11/05/2002
  • Est. Priority Date: 03/10/2000
  • Status: Active Grant
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 vector representation of the current document in an LSA space is based upon a plurality of temporally ordered words and is generated from at least one decomposition matrix of a singular value decomposition of a co-occurrence matrix, W, between M words in a vocabulary V and N documents in a text corpus T;

    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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