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Language model adaptation using semantic supervision

  • US 7,478,038 B2
  • Filed: 03/31/2004
  • Issued: 01/13/2009
  • Est. Priority Date: 03/31/2004
  • Status: Expired due to Fees
First Claim
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1. A method of adapting an n-gram language model for a new domain, the method comprising:

  • receiving background data indicative of general text phrases not directed to the new domain;

    receiving a set of semantic entities used in the new domain and organized in classes;

    generating background n-gram class count data based on the background data and the semantic entities and classes thereof;

    receiving adaptation data indicative of text phrases used in the new domain;

    generating adaptation n-gram class count data based on the adaptation data and the semantic entities and classes thereof;

    training a language model based on the background n-gram class count data and the adaptation n-gram class count data; and

    embodying the language model in tangible form.

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