Redmond, WA, United States of America

Tyler Stratton

This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tyler Stratton. Retrieved from https://idiyas.com/inventor/tyler-stratton

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Tyler Stratton and Context-Aware Machine Translation.

Introduction

Tyler Stratton is an inventor based in Redmond, Washington. His work includes a patented approach to improving machine translation by incorporating contextual information into the translation process.

Latest Patents

Stratton is associated with 1 patent: “Machine Translation Systems Utilizing Context Data.” The invention describes a method that receives a translation request containing a passage, a translation instruction, and a context signal from a context data source. It uses the context signal to create a context instruction, combines that instruction with the original prompt, and sends the modified prompt to a neural machine translation model. The model then returns a translation that reflects both the translation instruction and the supplied context.

Career Highlights

Stratton is associated with Microsoft Technology Licensing, LLC. His patent highlights an approach to using contextual data to guide neural machine translation.

Collaborations

The provided information lists North Jude Overby and Nazifa Nawar Chowdhury as Stratton’s coworkers.

Conclusion

Tyler Stratton’s patented method brings contextual signals into neural machine translation prompts, aiming to produce translations guided by both the requested instruction and relevant context.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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