Seoul, South Korea

Yeon Su Lee

This inventor holds 1 USPTO granted patent. Top assignee: Sk Planet Co., Ltd.. Active years: 2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yeon Su Lee. Retrieved from https://idiyas.com/inventor/yeon-su-lee-0s8tkn04

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


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Yeon Su Lee: Innovator in Machine Translation Technology

Introduction

Yeon Su Lee is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of machine translation, particularly through his innovative approaches to statistical machine translation.

Latest Patents

Yeon Su Lee holds 1 patent for a machine translation device and method that combines a syntax conversion model with a word translation model. This invention addresses the limitations of existing phrase-based and syntax-based statistical machine translation (SMT) systems. By acquiring creation probabilities for a target language from a single corpus and extracting conversion probabilities from a parallel corpus, his method enhances the efficiency and accuracy of machine translation.

Career Highlights

Yeon Su Lee is associated with Sk Planet Co., Ltd., where he continues to develop and refine his innovative technologies. His work has positioned him as a key figure in the advancement of machine translation systems.

Collaborations

He has collaborated with notable colleagues, including Sang-Bum Kim and Seong Wook Lee, to further enhance the capabilities of machine translation technologies.

Conclusion

Yeon Su Lee's contributions to machine translation technology exemplify the innovative spirit of modern inventors. His work not only addresses existing challenges but also paves the way for future advancements in the field.

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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