Philipp Koehn

Title: The Innovations of Philipp Koehn

Introduction

Philipp Koehn is a prominent inventor based in Venice, CA, known for his significant contributions to the field of machine translation. With a total of six patents to his name, Koehn has made remarkable strides in enhancing the efficiency and accuracy of translation systems.

Latest Patents

Koehn's latest patents include innovative systems that improve statistical machine translation. One notable patent is for a statistical noun phrase translation system, which incorporates a noun phrase/prepositional phrase (NP/PP) translation subsystem. This subsystem is designed to translate NP/PPs as a subtask in a machine translation operation. It utilizes a model trained on an NP/PP corpus and a decoder to generate an n-best list of candidate translations. Additionally, a re-ranker is employed to refine these translations based on machine learning methods and known properties of NP/PPs. Another significant patent focuses on building a translation lexicon from comparable, non-parallel corpora. This system identifies identically spelled words in two non-parallel corpora to create a seed lexicon. It further employs various clues, such as context and frequency, to identify and score potential translation pairs, enhancing the overall translation process.

Career Highlights

Throughout his career, Koehn has worked with esteemed organizations, including the University of Southern California and Language Weaver, Inc. His work has been instrumental in advancing the capabilities of machine translation technologies.

Collaborations

Koehn has collaborated with notable figures in the field, including Kevin Knight and Daniel Marcu. Their combined expertise has contributed to the development of innovative solutions in machine translation.

Conclusion

Philipp Koehn's contributions to machine translation through his patents and collaborations have significantly impacted the field. His innovative approaches continue to shape the future of translation technologies.