Combining Slot-based Vector Space Model for Voice Book Search

نویسندگان

  • Cheongjae Lee
  • Alexander Rudnicky
  • Tatsuya Kawahara
چکیده

We describe a hybrid approach to vector space model that improves accuracy in voice search for books. We compare different vector space approaches and demonstrate that the hybrid search model using a weighted sub-space model smoothed with a general model and a back-off scheme provides the best search performance on natural queries obtained from the Web.

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تاریخ انتشار 2011