Patents by Inventor Michael Denkowski

Michael Denkowski 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).

  • Multi-domain machine translation system with training data clustering and dynamic domain adaptation
    Patent number: 10437933
    Abstract: A machine translation system capable of clustering training data and performing dynamic domain adaptation is disclosed. An unsupervised domain clustering process is utilized to identify domains in general training data that can include in-domain training data and out-of-domain training data. Segments in the general training data are then assigned to the domains in order to create domain-specific training data. The domain-specific training data is then utilized to create domain-specific language models, domain-specific translation models, and domain-specific model weights for the domains. An input segment to be translated can be assigned to a domain at translation time. The domain-specific model weights for the assigned domain can be utilized to translate the input segment.
    Type: Grant
    Filed: August 16, 2016
    Date of Patent: October 8, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Ann Clifton, Michael Denkowski, Alon Lavie
  • Optimized statistical machine translation system with rapid adaptation capability
    Patent number: 10268684
    Abstract: Technologies are disclosed herein for statistical machine translation. In particular, the disclosed technologies include extensions to conventional machine translation pipelines: the use of multiple domain-specific and non-domain-specific dynamic language translation models and language models; cluster-based language models; and large-scale discriminative training. Incremental update technologies are also disclosed for use in updating a machine translation system in four areas: word alignment; translation modeling; language modeling; and parameter estimation. A mechanism is also disclosed for training and utilizing a runtime machine translation quality classifier for estimating the quality of machine translations without the benefit of reference translations.
    Type: Grant
    Filed: September 28, 2015
    Date of Patent: April 23, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Michael Denkowski, Alon Lavie, Gregory Alan Hanneman, Matthew Ryan Fiorillo, Laura Josephine Kieras, Robert Thomas Olszewski, William Joseph Kaper, Alexandre Alexandrovich Klementiev, Gavin Richard Jewell
  • Optimized statistical machine translation system with rapid adaptation capability
    Patent number: 10185713
    Abstract: Technologies are disclosed herein for statistical machine translation. In particular, the disclosed technologies include extensions to conventional machine translation pipelines: the use of multiple domain-specific and non-domain-specific dynamic language translation models and language models; cluster-based language models; and large-scale discriminative training. Incremental update technologies are also disclosed for use in updating a machine translation system in four areas: word alignment; translation modeling; language modeling; and parameter estimation. A mechanism is also disclosed for training and utilizing a runtime machine translation quality classifier for estimating the quality of machine translations without the benefit of reference translations.
    Type: Grant
    Filed: September 28, 2015
    Date of Patent: January 22, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Michael Denkowski, Alon Lavie, Gregory Alan Hanneman, Austin Matthews, Matthew Ryan Fiorillo, Robert Thomas Olszewski, Christopher James Dyer, William Joseph Kaper, Alexandre Alexandrovich Klementiev, Gavin R. Jewell
  • Optimized statistical machine translation system with rapid adaptation capability
    Patent number: 9959271
    Abstract: Technologies are disclosed herein for statistical machine translation. In particular, the disclosed technologies include extensions to conventional machine translation pipelines: the use of multiple domain-specific and non-domain-specific dynamic language translation models and language models; cluster-based language models; and large-scale discriminative training. Incremental update technologies are also disclosed for use in updating a machine translation system in four areas: word alignment; translation modeling; language modeling; and parameter estimation. A mechanism is also disclosed for training and utilizing a runtime machine translation quality classifier for estimating the quality of machine translations without the benefit of reference translations.
    Type: Grant
    Filed: September 28, 2015
    Date of Patent: May 1, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Kartik Goyal, Alon Lavie, Michael Denkowski, Gregory Alan Hanneman, Matthew Ryan Fiorillo, Robert Thomas Olszewski, Ehud Hershkovich, William Joseph Kaper, Alexandre Alexandrovich Klementiev, Gavin R. Jewell