Patents by Inventor William Joseph Kaper
William Joseph Kaper 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).
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Patent number: 10275459Abstract: 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: GrantFiled: September 28, 2016Date of Patent: April 30, 2019Assignee: Amazon Technologies, Inc.Inventors: Paul Kasper, Pallami Bhattacharjee, Paul Christopher Cerda, William Joseph Kaper, Thibault Pierre Seillier, Kelly Duggar Wiggins
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Patent number: 10268684Abstract: 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: GrantFiled: September 28, 2015Date of Patent: April 23, 2019Assignee: 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
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Patent number: 10261995Abstract: 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: GrantFiled: September 28, 2016Date of Patent: April 16, 2019Assignee: Amazon Technologies, Inc.Inventors: Paul Christopher Cerda, Pallami Bhattacharjee, William Joseph Kaper, Paul Kasper, Thibault Pierre Seillier, Kelly Duggar Wiggins
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Patent number: 10248396Abstract: A system for conducting a code review of program source code including translation of content in the program source code may include a source control system. The system may also include a resource file translator to facilitate translation of the content from a first language into second languages. Upon receipt of a code review request, the source control system may notify a workflow manager that the resource files contain the content for translation, and the workflow manager may notify a resource file translator that the program source code contains the content for translation. The resource file translator may cause translation of the resource files into translated resource files. The source control system may receive program source code under review from a code reviewer interface, and the resource file translator may update the program source code under review with the translated resource files.Type: GrantFiled: September 18, 2017Date of Patent: April 2, 2019Assignee: Amazon Technologies, Inc.Inventors: Kelly Duggar Wiggins, David Armour, Jeremy Boynes, William Cary Hall, Christopher A. Heilman, Robert E. Hicks, William Joseph Kaper, Addison Page Phillips, Thibault Pierre Seillier
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Patent number: 10229113Abstract: 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: GrantFiled: September 28, 2016Date of Patent: March 12, 2019Assignee: Amazon Technologies, Inc.Inventors: Kelly Duggar Wiggins, Pallami Bhattacharjee, Paul Christopher Cerda, William Joseph Kaper, Paul Kasper, Thibault Pierre Seillier
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Patent number: 10223356Abstract: 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: GrantFiled: September 28, 2016Date of Patent: March 5, 2019Assignee: Amazon Technologies, Inc.Inventors: Thibault Pierre Seillier, Pallami Bhattacharjee, Paul Christopher Cerda, William Joseph Kaper, Paul Kasper, Kelly Duggar Wiggins
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Patent number: 10185713Abstract: 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: GrantFiled: September 28, 2015Date of Patent: January 22, 2019Assignee: 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
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Patent number: 9959271Abstract: 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: GrantFiled: September 28, 2015Date of Patent: May 1, 2018Assignee: 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