Pittsburgh, PA, United States of America

Ehud Hershkovich


Average Co-Inventor Count = 10.0

ph-index = 1

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: The Innovations of Ehud Hershkovich

Introduction

Ehud Hershkovich is a notable inventor based in Pittsburgh, PA, who has made significant contributions to the field of machine translation. With a focus on optimizing statistical machine translation systems, his work has the potential to enhance the efficiency and accuracy of language translation technologies.

Latest Patents

Hershkovich holds a patent for an "Optimized statistical machine translation system with rapid adaptation capability." This patent outlines technologies that extend conventional machine translation pipelines. The innovations include the use of multiple domain-specific and non-domain-specific dynamic language translation models, cluster-based language models, and large-scale discriminative training. Additionally, the patent discloses incremental update technologies for updating machine translation systems in areas such as word alignment, translation modeling, language modeling, and parameter estimation. A key feature of his invention is a runtime machine translation quality classifier that estimates the quality of translations without reference translations, ensuring a more reliable translation process.

Career Highlights

Ehud Hershkovich is currently employed at Amazon Technologies, Inc., where he continues to develop and refine his innovative ideas in machine translation. His work at Amazon places him at the forefront of technological advancements in this field.

Collaborations

Hershkovich has collaborated with notable colleagues, including Kartik Goyal and Alon Lavie, who share his passion for advancing machine translation technologies. Their combined expertise contributes to the development of cutting-edge solutions in the industry.

Conclusion

Ehud Hershkovich's contributions to machine translation through his patented innovations demonstrate his commitment to enhancing language processing technologies. His work not only reflects his expertise but also has the potential to significantly impact the future of communication across languages.

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