Bengaluru, India

Jayakumar Hoskere

USPTO Granted Patents = 3 

Average Co-Inventor Count = 2.6

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2014-2023

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3 patents (USPTO):Explore Patents

Title: Jayakumar Hoskere: Innovator in Grammar and Article Annotation Technologies

Introduction

Jayakumar Hoskere is a notable inventor based in Bengaluru, India. He has made significant contributions to the fields of grammar suggestions and article annotation technologies. With a total of 3 patents to his name, Hoskere's work is recognized for its innovative approach to enhancing machine translation and content management.

Latest Patents

Hoskere's latest patents include systems and methods to identify the most suitable grammar suggestions among those provided by a machine translation model. This invention involves obtaining a set of candidate edits for a word in a sentence, identifying surrounding words that have a dependency relationship with the edit word, and using these relationships to predict grammatical accuracy. The candidate edit with the highest accuracy is then selected for the sentence. Another significant patent focuses on annotating articles, where a server determines whether an article meets specific criteria based on its content and associated information. This process allows for the effective categorization and storage of articles, particularly in relation to news topics.

Career Highlights

Hoskere is currently employed at Google Inc., where he continues to develop and refine his innovative ideas. His work at Google has allowed him to leverage cutting-edge technology and collaborate with other talented professionals in the field.

Collaborations

Some of Hoskere's coworkers include Chase Hensel and Rohit Ananthakrishna, who contribute to the collaborative environment that fosters innovation and creativity.

Conclusion

Jayakumar Hoskere's contributions to grammar and article annotation technologies highlight his role as a forward-thinking inventor. His patents reflect a commitment to improving machine translation and content management systems, making a lasting impact in the field.

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