Seattle, WA, United States of America

Nazifa Nawar Chowdhury

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nazifa Nawar Chowdhury. Retrieved from https://idiyas.com/inventor/nazifa-nawar-chowdhury

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Nazifa Nawar Chowdhury: Context-Aware Machine Translation

Introduction

Nazifa Nawar Chowdhury is an inventor associated with Seattle, Washington, and Microsoft Technology Licensing, LLC. Her patent work addresses the use of contextual information to improve machine translation.

Latest Patents

Chowdhury is associated with 1 patent, titled “Machine Translation Systems Utilizing Context Data.” The invention describes a method that receives a translation request containing a source-language passage, a translation instruction, and a context data signal. It uses the context signal to generate a context instruction, combines that instruction with the initial prompt, and sends the modified prompt to a neural machine translation model. The model then returns a passage in the target language, translated according to both the original translation instruction and the added context instruction.

Career Highlights

Chowdhury’s patent highlights an approach to making machine translation more responsive to context. By incorporating contextual data into the prompt provided to a neural machine translation model, the method aims to guide how the source passage is translated.

Collaborations

The supplied information associates Chowdhury with Microsoft Technology Licensing, LLC. North Jude Overby and Franklin Munoz Garcia are listed as coworkers.

Conclusion

Nazifa Nawar Chowdhury’s patent focuses on integrating context data into machine translation prompts, illustrating an approach to guiding translations with information beyond the source passage alone.

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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