Patents by Inventor Alexandre Alexandrovich Klementiev

Alexandre Alexandrovich Klementiev 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).

  • Clustering of discussion group participants
    Patent number: 10469275
    Abstract: Systems and methods are provided for spitting a population of users into electronic discussion groups or subgroups to facilitate more engaging conversations. Discussion profiles may be generated for individual users based on behavioral data, linguistic analysis, and demographic data. A target group size may be determined based on an analysis of user engagement levels within a number of discussion groups of varying sizes. One or more machine learning models may be configured to assign users to groups based on the users' similarity to each other and their conversation styles in order to maximize expected user engagement across the different groups.
    Type: Grant
    Filed: June 28, 2016
    Date of Patent: November 5, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Jamie Broomall, Alexandre Alexandrovich Klementiev, Amber Autrey Taylor
  • 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