Patents by Inventor Dmitry Konstantinovich Mesheryakov

Dmitry Konstantinovich Mesheryakov 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).

  • Patent number: 9984071
    Abstract: Disclosed are systems, computer-readable mediums, and methods for detecting language ambiguity. A sentence is analyzed to determine syntactic relationships among generalized constituents of the sentence. A graph of the generalized constituents is formed based on syntactic relationships and a lexical-morphological structure of the sentence. The graph is analyzed to determine a plurality of syntactic structures of the sentence. Each syntactic structure is rated on its probability that the syntactic structure is an accurate hypothesis about a full syntactic structure of the sentence. Semantic structures corresponding to the syntactic structures are determined. A first semantic structure and a second semantic structure of the semantic structures are selected, where the first and second semantic structures are different and each have a corresponding syntactic structure having a rating of at least a threshold value.
    Type: Grant
    Filed: October 8, 2014
    Date of Patent: May 29, 2018
    Assignee: ABBYY PRODUCTION LLC
    Inventors: Dmitry Konstantinovich Mesheryakov, Vladimir Pavlovich Selegey
  • Patent number: 9886320
    Abstract: An algorithm for assigning priorities to tasks queued for processing by users based on how heavily each task's user used the system resources in the past, including the number of tasks queued by the user in the past, the volume of these tasks, and the amount of processor time used. In the OCR context, the tasks are graphic files placed on servers and chosen for processing in accordance with the assigned priorities.
    Type: Grant
    Filed: June 24, 2016
    Date of Patent: February 6, 2018
    Assignee: ABBYY DEVELOPMENT LLC
    Inventors: Vasily Vladimirovich Panferov, Dmitry Konstantinovich Mesheryakov
  • Publication number: 20170046200
    Abstract: An algorithm for assigning priorities to tasks queued for processing by users based on how heavily each task's user used the system resources in the past, including the number of tasks queued by the user in the past, the volume of these tasks, and the amount of processor time used. In the OCR context, the tasks are graphic files placed on servers and chosen for processing in accordance with the assigned priorities.
    Type: Application
    Filed: June 24, 2016
    Publication date: February 16, 2017
    Inventors: Vasily Vladimirovich Panferov, Dmitry Konstantinovich Mesheryakov
  • Patent number: 9378061
    Abstract: An algorithm for assigning priorities to tasks queued for processing by users based on how heavily each task's user used the system resources in the past, including the number of tasks queued by the user in the past, the volume of these tasks, and the amount of processor time used. In the OCR context, the tasks are graphic files placed on servers and chosen for processing in accordance with the assigned priorities.
    Type: Grant
    Filed: December 16, 2014
    Date of Patent: June 28, 2016
    Assignee: ABBYY Development LLC
    Inventors: Vasily Vladimirovich Panferov, Dmitry Konstantinovich Mesheryakov
  • Publication number: 20150370606
    Abstract: An algorithm for assigning priorities to tasks queued for processing by users based on how heavily each task's user used the system resources in the past, including the number of tasks queued by the user in the past, the volume of these tasks, and the amount of processor time used. In the OCR context, the tasks are graphic files placed on servers and chosen for processing in accordance with the assigned priorities.
    Type: Application
    Filed: December 16, 2014
    Publication date: December 24, 2015
    Inventors: Vasily Vladimirovich Panferov, Dmitry Konstantinovich Mesheryakov
  • Publication number: 20150057991
    Abstract: Disclosed are systems, computer-readable mediums, and methods for detecting language ambiguity. A sentence is analyzed to determine syntactic relationships among generalized constituents of the sentence. A graph of the generalized constituents is formed based on syntactic relationships and a lexical-morphological structure of the sentence. The graph is analyzed to determine a plurality of syntactic structures of the sentence. Each syntactic structure is rated on its probability that the syntactic structure is an accurate hypothesis about a full syntactic structure of the sentence. Semantic structures corresponding to the syntactic structures are determined. A first semantic structure and a second semantic structure of the semantic structures are selected, where the first and second semantic structures are different and each have a corresponding syntactic structure having a rating of at least a threshold value.
    Type: Application
    Filed: October 8, 2014
    Publication date: February 26, 2015
    Inventors: Dmitry Konstantinovich Mesheryakov, Vladimir Pavlovich Selegey