Hannah Copperman

Title: The Innovative Mind of Hannah Copperman

Introduction

Hannah Copperman is a notable inventor based in San Francisco, CA. She has made significant contributions to the field of natural language processing through her innovative patent. Her work focuses on enhancing the capabilities of semantic translation rules to support natural language search, showcasing her expertise in technology and linguistics.

Latest Patents

Hannah holds a patent titled "Semi-automatic example-based induction of semantic translation rules to support natural language search." This patent describes technologies for generating a semantic translation rule that aids in natural language search. The method involves receiving a first expression and a second expression, generating representations based on these expressions, and determining aligned pairs of terms. The process includes replacing terms with variables, removing common word facts, and generating a translation rule that incorporates both representations.

Career Highlights

Hannah Copperman is currently associated with Microsoft Technology Licensing, LLC, where she continues to innovate and develop technologies that enhance user interaction with natural language systems. Her work is instrumental in bridging the gap between human language and machine understanding.

Collaborations

Hannah collaborates with talented individuals such as Emmanuel Rayner and Richard Stamford Crouch, contributing to a dynamic and innovative work environment.

Conclusion

Hannah Copperman's contributions to the field of natural language processing through her patent and work at Microsoft Technology Licensing, LLC highlight her as a leading figure in technological innovation. Her efforts continue to shape the future of how we interact with machines using natural language.