Philipp Koehn
Scholar

Philipp Koehn

Google Scholar ID: OsIZgIYAAAAJ
Professor, Johns Hopkins University
Machine TranslationNatural Language Processing
Citations & Impact
All-time
Citations
21,445
 
H-index
53
 
i10-index
130
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • Published numerous papers in the fields of machine translation and natural language processing. Received IAMT Award of Honor (2015) and ACL Fellow (2024). Developed several open-source software and resources, including Moses, a statistical machine translation system.
Research Experience
  • Teaches several courses such as Introduction to Human Language Technology, Computer Systems Fundamentals, Artificial Intelligence, and Machine Translation. Supervises multiple PhD students.
Background
  • Professor at The Johns Hopkins University, Department of Computer Science. His work is currently focused on machine translation and making use of the vast amount of information available in digital form.
Miscellany
  • Engaged in media activities, including interviews with CNN and NPR, and speaking at various international conferences.