This inventor holds 2 USPTO granted patents. Top assignee: Google Inc.. Active years: 2017-2019.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2017-2019
Title: The Innovations of Ke Wu
Introduction
Ke Wu is an accomplished inventor based in Jersey City, NJ (US). He has made significant contributions to the field of language processing, particularly in the area of text normalization. With a total of 2 patents, his work is recognized for its innovative approach to handling semiotic classes in language.
Latest Patents
One of Ke Wu's latest patents is titled "Semiotic Class Normalization - A Language Processing System for Text Normalization of an Input String of a Semiotic Class." This invention involves a method that begins with receiving an input string. It accesses a language universal covering grammar for a plurality of languages, generating sequences of word-level components for each instance of the semiotic class. The method also includes accessing a lexical map specific to each language, generating a lattice of possible verbalizations, and selecting one as the final output. This innovative approach enhances the accuracy and efficiency of language processing systems.
Career Highlights
Ke Wu is currently employed at Google Inc., where he continues to develop cutting-edge technologies in language processing. His work has garnered attention for its potential applications in various fields, including artificial intelligence and natural language understanding.
Collaborations
Throughout his career, Ke Wu has collaborated with notable colleagues such as Richard Sproat and Kyle Gorman. These collaborations have further enriched his research and development efforts in the field of language processing.
Conclusion
Ke Wu's contributions to language processing through his innovative patents demonstrate his expertise and commitment to advancing technology. His work at Google Inc. and collaborations with esteemed colleagues highlight his role as a significant figure in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
