Growing community of inventors

Hermosa Beach, CA, United States of America

Kevin Knight

Average Co-Inventor Count = 2.73

ph-index = 17

The patent ph-index is calculated by counting the number of publications for which an author has been cited by other authors at least that same number of times.

Forward Citations = 1,061

Kevin KnightDaniel Marcu (9 patents)Kevin KnightIan C Schick (9 patents)Kevin KnightJay Priyadarshi (5 patents)Kevin KnightKenji Yamada (4 patents)Kevin KnightPhilipp Koehn (4 patents)Kevin KnightXing Shi (4 patents)Kevin KnightDragos Stefan Munteanu (2 patents)Kevin KnightYaser Al-Onaizan (2 patents)Kevin KnightGreg Langmead (2 patents)Kevin KnightWei Wang (2 patents)Kevin KnightMichel Galley (2 patents)Kevin KnightIgnacio E Thayer (1 patent)Kevin KnightRadu Soricut (1 patent)Kevin KnightWilliam Wong (1 patent)Kevin KnightJonathan May (1 patent)Kevin KnightIon Muslea (1 patent)Kevin KnightJonathan Graehl (1 patent)Kevin KnightMark Hopkins (1 patent)Kevin KnightKevin Knight (26 patents)Daniel MarcuDaniel Marcu (36 patents)Ian C SchickIan C Schick (9 patents)Jay PriyadarshiJay Priyadarshi (5 patents)Kenji YamadaKenji Yamada (13 patents)Philipp KoehnPhilipp Koehn (6 patents)Xing ShiXing Shi (4 patents)Dragos Stefan MunteanuDragos Stefan Munteanu (4 patents)Yaser Al-OnaizanYaser Al-Onaizan (3 patents)Greg LangmeadGreg Langmead (2 patents)Wei WangWei Wang (2 patents)Michel GalleyMichel Galley (2 patents)Ignacio E ThayerIgnacio E Thayer (8 patents)Radu SoricutRadu Soricut (8 patents)William WongWilliam Wong (6 patents)Jonathan MayJonathan May (4 patents)Ion MusleaIon Muslea (1 patent)Jonathan GraehlJonathan Graehl (1 patent)Mark HopkinsMark Hopkins (1 patent)
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Inventor’s number of patents
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Strength of working relationships

Company Filing History:

1. University of Southern California (11 from 1,636 patents)

2. Specifio, Inc. (9 from 9 patents)

3. Language Weaver, Inc. (6 from 22 patents)

4. Sdl Inc. (1 from 197 patents)


26 patents:

1. 11651160 - Systems and methods for using machine learning and rules-based algorithms to create a patent specification based on human-provided patent claims such that the patent specification is created without human intervention

2. 11593564 - Systems and methods for extracting patent document templates from a patent corpus

3. 11188664 - Systems and methods for facilitating editing of a confidential document by a non-privileged person by stripping away content and meaning from the document without human intervention such that only structural and/or grammatical information of the document are conveyed to the non-privileged person

4. 11023662 - Systems and methods for providing adaptive surface texture in auto-drafted patent documents

5. 10747953 - Systems and methods for automatically creating a patent application based on a claim set such that the patent application follows a document plan inferred from an example document

6. 10713443 - Machine learning model for computer-generated patent applications to provide support for individual claim features in a specification

7. 10621371 - Systems and methods for facilitating editing of a confidential document by a non-privileged person by stripping away content and meaning from the document without human intervention such that only structural and/or grammatical information of the document are conveyed to the non-privileged person

8. 10572600 - Systems and methods for using machine learning and rules-based algorithms to create a patent specification based on human-provided patent claims such that the patent specification is created without human intervention

9. 10417341 - Systems and methods for using machine learning and rules-based algorithms to create a patent specification based on human-provided patent claims such that the patent specification is created without human intervention

10. 10319252 - Language capability assessment and training apparatus and techniques

11. 8886518 - System and method for capitalizing machine translated text

12. 8825466 - Modification of annotated bilingual segment pairs in syntax-based machine translation

13. 8600728 - Training for a text-to-text application which uses string to tree conversion for training and decoding

14. 8234106 - Building a translation lexicon from comparable, non-parallel corpora

15. 8214196 - Syntax-based statistical translation model

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