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Philipp Koehn

Computing Methodologies

Philipp Koehn (born August 1, 1971, in Erlangen, Bavaria) is a German and American computer scientist known for statistical and neural machine translation. He studied at the University of Erlangen-Nuremberg and the University of Tennessee before earning his PhD in computer science from the University of Southern California in 2003 under Kevin Knight, then completed a postdoctoral fellowship at MIT under Michael Collins. He joined the University of Edinburgh's School of Informatics as a lecturer in 2005, was promoted to reader in 2010 and professor in 2012, and has been a professor in the computer science department at Johns Hopkins University, affiliated with its Center for Language and Speech Processing, since 2014. His 2003 paper Statistical Phrase-Based Translation, with Franz Josef Och and Daniel Marcu, has been cited more than a thousand times, and he created and maintains the Europarl corpus of European Parliament proceedings spanning twenty one languages since 1996 and developed the widely used open-source Moses statistical machine translation decoder. He wrote the textbooks Statistical Machine Translation in 2009 and Neural Machine Translation in 2020, was a finalist for the European Inventor Award in 2013, received the International Association for Machine Translation's Award of Honor in 2015, and was named an ACL Fellow in 2024.

Facts
Birth Year
1971 1
Birth Date
1971-08-01 1
Sources
1. Philipp Koehn (Wikidata)
  • P569 (date of birth): year 1971
    1971
  • P569 (date of birth): 1971-08-01
    1971-08-01
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