Patents by Inventor Dong-Feng Cai

Dong-Feng Cai has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • System and method for joint optimization of language model performance and size
    Patent number: 7275029
    Abstract: A method for the joint optimization of language model performance and size is presented comprising developing a language model from a tuning set of information, segmenting at least a subset of a received textual corpus and calculating a perplexity value for each segment and refining the language model with one or more segments of the received corpus based, at least in part, on the calculated perplexity value for the one or more segments.
    Type: Grant
    Filed: June 30, 2000
    Date of Patent: September 25, 2007
    Assignee: Microsoft Corporation
    Inventors: Jianfeng Gao, Kai-Fu Lee, Mingjing Li, Hai-Feng Wang, Dong-Feng Cai, Lee-Feng Chien
  • System and iterative method for lexicon, segmentation and language model joint optimization
    Patent number: 6904402
    Abstract: A method for optimizing a language model is presented comprising developing an initial language model from a lexicon and segmentation derived from a received corpus using a maximum match technique, and iteratively refining the initial language model by dynamically updating the lexicon and re-segmenting the corpus according to statistical principles until a threshold of predictive capability is achieved.
    Type: Grant
    Filed: June 30, 2000
    Date of Patent: June 7, 2005
    Assignee: Microsoft Corporation
    Inventors: Hai-Feng Wang, Chang-Ning Huang, Kai-Fu Lee, Shuo Di, Jianfeng Gao, Dong-Feng Cai, Lee-Feng Chien
  • System and iterative method for lexicon, segmentation and language model joint optimization
    Publication number: 20040210434
    Abstract: A method for optimizing a language model is presented comprising developing an initial language model from a lexicon and segmentation derived from a received corpus using a maximum match technique, and iteratively refining the initial language model by dynamically updating the lexicon and re-segmenting the corpus according to statistical principles until a threshold of predictive capability is achieved.
    Type: Application
    Filed: May 10, 2004
    Publication date: October 21, 2004
    Applicant: Microsoft Corporation
    Inventors: Hai-Feng Wang, Chang-Ning Huang, Kai-Fu Lee, Shuo Di, Jianfeng Gao, Dong-Feng Cai, Lee-Feng Chien