Patents by Inventor Pallami Bhattacharjee

Pallami Bhattacharjee 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).

  • Source language content scoring for localizability
    Patent number: 10275459
    Abstract: A content management system (CMS) and a translation management system (TMS) can utilize content dimensions for content items to manage and translate the content items between languages. Machine and human translations of complex dynamic content can also be improved by pre-rendering the content to remove localization-related syntax prior to machine or human translation. Content items can also be scored as to their suitability for localization prior to translation, and translation can be skipped for content items that do not have a sufficiently high score. Semantic and natural language processing (NLP) techniques can also be utilized for content categorization and routing. Translations of content items can also be continuously refined and higher quality re-translated content can be provided in an automated fashion.
    Type: Grant
    Filed: September 28, 2016
    Date of Patent: April 30, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Paul Kasper, Pallami Bhattacharjee, Paul Christopher Cerda, William Joseph Kaper, Thibault Pierre Seillier, Kelly Duggar Wiggins
  • Semantic and natural language processing for content categorization and routing
    Patent number: 10261995
    Abstract: A content management system (CMS) and a translation management system (TMS) can utilize content dimensions for content items to manage and translate the content items between languages. Machine and human translations of complex dynamic content can also be improved by pre-rendering the content to remove localization-related syntax prior to machine or human translation. Content items can also be scored as to their suitability for localization prior to translation, and translation can be skipped for content items that do not have a sufficiently high score. Semantic and natural language processing (NLP) techniques can also be utilized for content categorization and routing. Translations of content items can also be continuously refined and higher quality re-translated content can be provided in an automated fashion.
    Type: Grant
    Filed: September 28, 2016
    Date of Patent: April 16, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Paul Christopher Cerda, Pallami Bhattacharjee, William Joseph Kaper, Paul Kasper, Thibault Pierre Seillier, Kelly Duggar Wiggins
  • Leveraging content dimensions during the translation of human-readable languages
    Patent number: 10229113
    Abstract: A content management system (CMS) and a translation management system (TMS) can utilize content dimensions for content items to manage and translate the content items between languages. Machine and human translations of complex dynamic content can also be improved by pre-rendering the content to remove localization-related syntax prior to machine or human translation. Content items can also be scored as to their suitability for localization prior to translation, and translation can be skipped for content items that do not have a sufficiently high score. Semantic and natural language processing (NLP) techniques can also be utilized for content categorization and routing. Translations of content items can also be continuously refined and higher quality re-translated content can be provided in an automated fashion.
    Type: Grant
    Filed: September 28, 2016
    Date of Patent: March 12, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Kelly Duggar Wiggins, Pallami Bhattacharjee, Paul Christopher Cerda, William Joseph Kaper, Paul Kasper, Thibault Pierre Seillier
  • Abstraction of syntax in localization through pre-rendering
    Patent number: 10223356
    Abstract: A content management system (CMS) and a translation management system (TMS) can utilize content dimensions for content items to manage and translate the content items between languages. Machine and human translations of complex dynamic content can also be improved by pre-rendering the content to remove localization-related syntax prior to machine or human translation. Content items can also be scored as to their suitability for localization prior to translation, and translation can be skipped for content items that do not have a sufficiently high score. Semantic and natural language processing (NLP) techniques can also be utilized for content categorization and routing. Translations of content items can also be continuously refined and higher quality re-translated content can be provided in an automated fashion.
    Type: Grant
    Filed: September 28, 2016
    Date of Patent: March 5, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Thibault Pierre Seillier, Pallami Bhattacharjee, Paul Christopher Cerda, William Joseph Kaper, Paul Kasper, Kelly Duggar Wiggins