Part-of-speech tagging using latent analogy

  • US 9,053,089 B2
  • Filed: 10/02/2007
  • Issued: 06/09/2015
  • Est. Priority Date: 10/02/2007
  • Status: Expired due to Fees
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First Claim
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1. A method, comprising:

  • analyzing a corpus having first training sequences of words in a semantic vector space;

    extracting a global semantic information associated with an input sequence of words from the semantic vector space;

    selecting second training sequences of words having part-of-speech tags in the semantic vector space based on the global semantic information and the first training sequences; and

    assigning a part-of-speech tag to at least one word of the input sequence based on the part-of-speech tags of the second training sequences, wherein at least one of the analyzing, extracting, selecting, and assigning is performed by a processor.

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