Divergence elimination language model

Divergence elimination language model

  • CN 100,568,222 C
  • Filed: 01/29/2002
  • Issued: 12/09/2009
  • Est. Priority Date: 01/31/2001
  • Status: Active Grant
First Claim
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1. system and discern the input voice with the method for pointing character of using a computer by language model, this method comprises:

  • Create language model, comprising;

    Structure training corpus comprises;

    For comprising, character and this word phrase of this word phrase is associated to generate the contextual tagging phrase of this training corpus automatically with the contextual tagging of this character of expression identification based on each the word phrase in the word phrase dictionary of Chinese character;

    AndUse this training corpus to create described language model;

    Character when identification is spoken comprises;

    Reception has the input voice of character string, wherein character string comprises the contextual tagging phrase that comprises character, comprises contextual tagging phrase based on Chinese character, has word phrase and contextual tagging based on Chinese character, and wherein said contextual tagging has been indicated the ambiguity of delete character;

    Under the situation that does not have prompting, detect the contextual tagging phrase of importing in the voice that receives;

    The instruction that execution conducts interviews to described language model, wherein said language model comprise N character row language model, and this model has the probabilistic information of the contextual tagging phrase that is generated;

    AndExport this character with text, and do not have this word phrase and contextual tagging of the contextual tagging phrase that detected.

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