Culver City, CA, United States of America

Dragos Stefan Munteanu


Average Co-Inventor Count = 2.7

ph-index = 4

Forward Citations = 190(Granted Patents)


Location History:

  • Los Angeles, CA (US) (2009 - 2012)
  • Culver City, CA (US) (2012 - 2015)

Company Filing History:


Years Active: 2009-2015

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4 patents (USPTO):Explore Patents

Title: Innovations of Dragos Stefan Munteanu

Introduction

Dragos Stefan Munteanu is a notable inventor based in Culver City, CA (US). He has made significant contributions to the field of multilingual document processing and machine translation. With a total of 4 patents, Munteanu's work focuses on enhancing the efficiency and accuracy of translation systems.

Latest Patents

Munteanu's latest patents include innovative systems and methods for identifying parallel documents and sentence fragments in multilingual document collections. One of his key inventions provides a method for identifying parallel sub-sentential fragments in a bilingual collection. This method involves translating a source document and querying a target library to identify target documents. The process aligns source sentences with target sentences to determine if fragments are parallel translations. Another significant patent involves a translation training device that extracts parallel sentences from non-parallel corpora. This system finds parameters between different sentences to enhance data-driven machine translation systems.

Career Highlights

Munteanu is currently affiliated with the University of Southern California, where he continues to advance research in his field. His work has been instrumental in developing methods that improve the quality of machine translation, making it more accessible and effective for users.

Collaborations

Some of Munteanu's notable coworkers include Daniel Marcu and Kevin Knight, who have also contributed to advancements in natural language processing and machine translation.

Conclusion

Dragos Stefan Munteanu's innovative work in multilingual document processing and machine translation has established him as a key figure in the field. His patents reflect a commitment to improving translation systems, which can significantly impact global communication.

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