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Language model adaptation using semantic supervision

  • US 20050228641A1
  • Filed: 03/31/2004
  • Published: 10/13/2005
  • Est. Priority Date: 03/31/2004
  • Status: Active Grant
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; and

    training a language model based on the background n-gram class count data.

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