Patents by Inventor Jaime G. Carbonell
Jaime G. Carbonell 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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Publication number: 20180061256Abstract: An automated lesson generation learning system extracts text-based content from a digital media file. The system parses the extracted content to identify key words to use with prompts in the lesson. The system also may automatically generate a clip from the digital media file, so that the clip is the portion of the file in which the sentence is spoken. The system then automatically generates and outputs a lesson containing the prompt, and optionally the clip. The system may process a user's spoken response to the prompt to determine whether the user correctly pronounced the response.Type: ApplicationFiled: November 3, 2017Publication date: March 1, 2018Inventors: Michael E. Elchik, Dafyd Jones, Robert J. Pawlowski, JR., Jaime G. Carbonell, Jeremy Hesidenz, Sean Hile, Cathy Wilson
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Publication number: 20170323577Abstract: An automated lesson generation learning system extracts text-based content from a digital programming file. The system parses the extracted content to identify a sentence, and key words within the sentences, to use as prompts in the lesson. The system also automatically generates a clip from the digital programming file, so that the clip is the portion of the file in which the sentence is spoken. The system then automatically generates and outputs a lesson containing the prompt and the clip.Type: ApplicationFiled: May 4, 2017Publication date: November 9, 2017Inventors: Michael E. Elchik, Dafyd Jones, Robert J. Pawlowski, JR., Jaime G. Carbonell, Jeremy Hesidenz, Sean Hile, Cathy Wilson
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Patent number: 9812028Abstract: An automated lesson generation learning system extracts text-based content from a digital programming file. The system parses the extracted content to identify a sentence, and key words within the sentences, to use as prompts in the lesson. The system also automatically generates a clip from the digital programming file, so that the clip is the portion of the file in which the sentence is spoken. The system then automatically generates and outputs a lesson containing the prompt and the clip.Type: GrantFiled: May 4, 2017Date of Patent: November 7, 2017Assignee: WeSpeke, Inc.Inventors: Michael E. Elchik, Dafyd Jones, Robert J. Pawlowski, Jr., Jaime G. Carbonell, Jeremy Hesidenz, Sean Hile, Cathy Wilson
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Publication number: 20170213469Abstract: An automated lesson generation learning system extracts text-based content from a digital programming file. The system parses the extracted content to identify one or more topics, parts of speech, named entities and/or other material in the content. The system then automatically generates and outputs a lesson containing content that is relevant to the content that was extracted from the digital programming file.Type: ApplicationFiled: January 25, 2017Publication date: July 27, 2017Inventors: Michael E. ELCHIK, Jaime G. Carbonell, Cathy Wilson, Robert J. Pawlowski, JR., Dafyd Jones
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Publication number: 20170124093Abstract: A method and system for matching users of a network, such as a language learning network, employs user profile data to determine point match scores and/or compatibility match scores between users of the network. A point match score is a measure of strength for a single interest that two users share. A compatibility match score is an aggregate measure of similarity of multiple interests that two users share. When a first user asks the system to propose another user or users for interaction, the system uses the point match scores, compatibility match scores, or both to determine which additional users to recommend to the first user. The system may present the first user with a profile for each recommended user. The first user may select one of the recommended users and engage in interaction, such as language skills learning or practice, with that user via an interface.Type: ApplicationFiled: January 17, 2017Publication date: May 4, 2017Inventors: Jaime G. Carbonell, Michael E. Elchik, Jason Simmons, Adel Assaad, Robert J. Pawlowski, JR.
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Patent number: 9563720Abstract: A method and system for matching users of a network, such as a language learning network, employs user profile data to determine point match scores and/or compatibility match scores between users of the network such as a social network. A point match score is a measure of strength for a single interest that two users share. A compatibility match score is an aggregate measure of similarity of multiple interests that two users share. When a first user asks the system to propose another user or users for interaction, the system uses the point match scores, compatibility match scores, or both to determine which additional users to recommend to the first user. The system may present the first user with a profile for each recommended user. The first user may select one of the recommended users and engage in interaction, such as language skills learning or practice, with that user via a text, audio and/or video interface.Type: GrantFiled: February 5, 2014Date of Patent: February 7, 2017Assignee: WESPEKE, INC.Inventors: Jaime G. Carbonell, Michael E. Elchik, Jason Simmons, Adel Assaad, Robert J. Pawlowski, Jr.
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Publication number: 20140222806Abstract: A method and system for matching users of a network, such as a language learning network, employs user profile data to determine point match scores and/or compatibility match scores between users of the network such as a social network. A point match score is a measure of strength for a single interest that two users share. A compatibility match score is an aggregate measure of similarity of multiple interests that two users share. When a first user asks the system to propose another user or users for interaction, the system uses the point match scores, compatibility match scores, or both to determine which additional users to recommend to the first user. The system may present the first user with a profile for each recommended user. The first user may select one of the recommended users and engage in interaction, such as language skills learning or practice, with that user via a text, audio and/or video interface.Type: ApplicationFiled: February 5, 2014Publication date: August 7, 2014Applicant: WeSpeke, Inc.Inventors: Jaime G. Carbonell, Michael E. Elchik, Jason Simmons, Adel Assaad, Robert J. Pawlowski, JR.
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Patent number: 6163785Abstract: The present invention is a system of integrated, computer-based processes for monolingual information development. and multilingual translation. An interactive text editor enforces lexical and grammatical constraints on a natural language subset used by the authors to create their text, which they help disambiguate to ensure translatability. The resulting translatable source language text undergoes machine translation into any one of a set of target languages, without the translated text requiring any postediting.Type: GrantFiled: May 11, 1999Date of Patent: December 19, 2000Assignee: Caterpillar Inc.Inventors: Jaime G. Carbonell, Sharlene L. Gallup, Timothy J. Harris, James W. Higdon, Dennis A. Hill, David C. Hudson, David Nasjleti, Mervin L. Rennich, Peggy M. Andersen, Michael M. Bauer, Roy F. Busdiecker, III, Philip J. Hayes, Alison K. Huettner, Bruce M. McLaren, Irene Nirenburg, Eric H. Riebling, Linda M. Schmandt, John F. Sweet, Kathryn L. Baker, Nicholas D. Brownlow, Alexander M. Franz, Susan E. Holm, John Robert Russell Leavitt, Deryle W. Lonsdale, Teruko Mitamura, Eric H. Nyberg, 3rd
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Patent number: 6139201Abstract: The present invention is a system of integrated, computer-based processes for monolingual information development and multilingual translation. An interactive text editor enforces lexical and grammatical constraints on a natural language subset used by the authors to create their text, which they help disambiguate to ensure translatability. The resulting translatable source language text undergoes machine translation into any one of a set of target languages, without the translated text requiring any postediting.Type: GrantFiled: April 15, 1996Date of Patent: October 31, 2000Assignee: Caterpillar Inc.Inventors: Jaime G. Carbonell, Sharlene L. Gallup, Timothy J. Harris, James W. Higdon, Dennis A. Hill, David C. Hudson, David Nasjleti, Mervin L. Rennich, Peggy M. Andersen, Michael M. Bauer, Roy F. Busdiecker, Philip J. Hayes, Alison K. Huettner, Bruce M. McLaren, Irene Nirenburg, Eric H. Riebling, Linda M. Schmandt, John F. Sweet, Kathryn L. Baker, Nicholas D. Brownlow, Susan E. Holm, John Robert Russell Leavitt, Deryle W. Lonsdale, Teruko Mitamura, Eric H. Nyberg, 3rd
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Patent number: 5995920Abstract: A computer-based method and system for monolingual document development, which includes the steps of entering into a text editor input text in a source language, checking the input text against vocabulary source language constraints, and providing interactive feedback relating to the input text if non-constrained source language is present. The method and system also includes the steps of checking for syntactic grammatical errors and semantic ambiguities in the source text, and providing interactive feedback to remove syntactic grammatical errors and semantic ambiguities in the source text.Type: GrantFiled: April 15, 1996Date of Patent: November 30, 1999Assignee: Caterpillar Inc.Inventors: Jaime G. Carbonell, Sharlene L. Gallup, Timothy J. Harris, James W. Higdon, Dennis A. Hill, David C. Hudson, David Nasjleti, Mervin L. Rennich, Peggy M. Andersen, Michael M. Bauer, Roy F. Busdiecker, Philip J. Hayes, Alison K. Huettner, Bruce M. McLaren, Irene Nirenburg, Eric H. Riebling, Linda M. Schmandt, John F. Sweet, Kathryn L. Baker, Nicholas D. Brownlow, Alexander M. Franz, Susan E. Holm, John Robert Russell Leavitt, Deryle W. Lonsdale, Teruko Mitamura, Eric H. Nyberg, 3rd
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Patent number: 5677835Abstract: The present invention is a system of integrated, computer-based processes for monolingual information development and multilingual translation. An interactive text editor enforces lexical and grammatical constraints on a natural language subset used by the authors to create their text, which they help disambiguate to ensure translatability. The resulting translatable source language text undergoes machine translation into any one of a set of target languages, without the translated text requiring any postediting.Type: GrantFiled: December 22, 1994Date of Patent: October 14, 1997Assignee: Caterpillar Inc.Inventors: Jaime G. Carbonell, Sharlene L. Gallup, Timothy J. Harris, James W. Higdon, Dennis A. Hill, David C. Hudson, David Nasjleti, Mervin L. Rennich, Peggy M. Andersen, Michael M. Bauer, Roy F. Busdiecker, Philip J. Hayes, Alison K. Huettner, Bruce M. McLaren, Irene Nirenburg, Eric H. Riebling, Linda M. Schmandt, John F. Sweet, Kathryn L. Baker, Nicholas D. Brownlow, Alexander M. Franz, Susan E. Holm, John Robert Russell Leavitt, Deryle W. Lonsdale, Teruko Mitamura, Eric H. Nyberg, 3rd