Nisha Rathode (Editor)

Philipp Koehn

Updated on
Share on FacebookTweet on TwitterShare on LinkedInShare on Reddit
Residence  United States
Name  Philipp Koehn
Doctoral advisor  Kevin Knight
Citizenship  Germany

Philipp Koehn Philipp Koehn
Born  August 1, 1971 (age 44) Erlangen, Bavaria, West Germany (1971-08-01)
Institutions  University of Edinburgh, Johns Hopkins University
Alma mater  University of Erlangen-Nuremberg, University of Tennessee, University of Southern California
Known for  Asia Online, Europarl Corpus, Moses
Books  Statistical Machine Translation
Education  University of Tennessee, University of Erlangen-Nuremberg, University of Southern California
Fields  Computer Science, Machine translation

Notable awards  European Inventor Award

Prof philipp koehn open problems in machine translation

Philipp Koehn (born August 1, 1971 in Erlangen, West Germany) is a computer scientist and researcher in the field of machine translation. His primary research interest is statistical machine translation and he is one of the inventors of a method called phrase based machine translation which is a sub-field of statistical translation methods that employs sequences of words (or so-called "phrases") as the basis of translation, expanding the previous word based approaches.  A 2003 paper which he authored with Franz Josef Och and Daniel Marcu called Statistical phrase-based translation has attracted wide attention in Machine translation community and has been cited over a thousand times. Phrase based methods are widely used in machine translation applications in industry.  An example of such systems are Google Translate and Omniscien Technologies (formerly Asia Online).


Philipp Koehn Department of Computer Science Philipp Koehn

Philipp Koehn received his PhD in Computer Science in 2003 from the University of Southern California, where he worked at the Information Sciences Institute advised by Kevin Knight. After a year as a postdoctoral fellow under Michael Collins at the Massachusetts Institute of Technology, he joined the University of Edinburgh as a lecturer in the School of Informatics in 2005. He was appointed reader in 2010 and professor in 2012. In 2014, he was appointed professor at the computer science department of The Johns Hopkins University, where he is affiliated with the Center for Language and Speech Processing.

Philipp Koehn EPO Letting math do the talking

Philipp Koehn is married to Trishann Koehn, and has two children, Phianna and Leo.

Philipp Koehn Handelsblatt Europischer Erfinderpreis 2013 Special

Philipp koehn team phrase based language translation by computers portrait

Moses Statistical Machine Translation Decoder

Philipp Koehn wwwiccsinfedacukpkoehnkoehnjpg

The Moses machine translation decoder is an open source project that was created by and is maintained under the guidance of Philipp Koehn. The Moses decoder is a platform for developing Statistical machine translation systems given a parallel corpus for any language pair. The decoder was mainly developed by Hieu Hoang and Philipp Koehn at the University of Edinburgh and extended during a Johns Hopkins University Summer Workshop and further developed under EuroMatrix and GALE project funding.  The decoder (which is part of a complete statistical machine translation toolkit) is the de facto benchmark for research in the field.

Philipp Koehn Prof Philipp Koehn Open Problems in Machine Translation

Although Koehn continues to play a major role in the development of Moses, the Moses decoder was supported by the European Framework 6 projects EuroMatrix, TC-Star, the European Framework 7 projects EuroMatrixPlus, Let’s MT, META-NET and MosesCore and the DARPA GALE project, as well as several universities such as the University of Edinburgh, the University of Maryland, ITC-irst, Massachusetts Institute of Technology, and others.  Substantial additional contributors to the Moses decoder include Hieu Hoang, Chris Dyer, Josh Schroeder, Marcello Federico, Richard Zens, and Wade Shen.

Europarl Corpus

Philipp Koehn Philipp Koehn Distinguished Lecturer Computer Science

The Europarl Corpus is a set of documents that consists of the proceedings of the European Parliament from 1996 to the present.  The corpus has been compiled and expanded by a group of researchers led by Philipp Koehn at University of Edinburgh.  The data that makes up the corpus was extracted from the website of the European Parliament and then prepared for linguistic research.  The latest release (2012) comprised up to 60 million words per language, with 21 European languages represented: Romanic (French, Italian, Spanish, Portuguese, Romanian), Germanic (English, Dutch, German, Danish, Swedish), Slavic (Bulgarian, Czech, Polish, Slovak, Slovene), Finno-Ugric (Finnish, Hungarian, Estonian), Baltic (Latvian, Lithuanian), and Greek.

Other Interests and Activities In Chronological Order

  • Koehn is a professor at Johns Hopkins University where he continues his research into machine translation through his affiliation with the Center for Language and Speech Processing
  • Koehn is a professor and Chair of Machine Translation at the University of Edinburgh's School of Informatics and contributes to its Statistical Machine Translation Group which organizes workshops, seminars and project related to the subject.
  • Koehn has consulted to SYSTRAN periodically between 2006 and 2011.  SYSTRAN was acquired by CLSI, a Korean machine translation company in April 2014.
  • Koehn is also acting as Chief Scientist for Omniscien Technologies and a shareholder in Omniscien Technologies since 2007.  Omniscien Technologies is a private company developing and commercializing machine translation technologies.
  • Koehn authored a book titled Statistical Machine Translation in 2009.
  • Awards and recognition

  • 2013: One of three finalists in the category of Research for the European Patent Office (EPO) 2013 European Inventor Award. Koehn was recognized for patent EP 1488338 B, Phrase-Based Joint Probability Model for Statistical Machine Translations, a translation model that uses mathematical probabilities to determine the most likely interpretation of chunks of text between foreign languages.
  • 2015: Koehn received the Award of Honor of the International Association for Machine Translation
  • References

    Philipp Koehn Wikipedia