Juri Ganitkevitch

PhD Student
Center for Language and Speech Processing
Johns Hopkins University

About Me

I'm a second-year PhD student at the Computer Science Department of the Johns Hopkins University. More precisely, I work at the Center for Language and Speech Processing.

My advisor is Chris Callison-Burch. I also frequently consult with Ben Van Durme, Alexandre Klementiev and Adam Lopez.

My main research interest is in statistical machine translation, particularly in automatic (and possibly non-parametric) induction and training of grammars with non-trivial non-terminals. I'm also curious about efficient processing of vast amounts of data, particularly randomized and approximative algorithms, probabilistic data structures and online methods. I'm convinced that semi-supervised learning is a pretty good idea.

I hold a Master's degree in Computer Science from JHU as well as a Diplom (equivalent to a Master's) of Computer Science from RWTH Aachen University. My Diplom thesis project as well as some prior research assistant work was done at the Human Language Technology and Pattern Recognition Group, advised by Sasa Hasan and Hermann Ney.

I also spent a year as a visiting Master's student at the ENST/Télécom Paris and took a year off school to work with the Voice Technology Group at IBM Germany Research & Development as a full-time intern. While working on my Diplom thesis I held a part-time software engineering position with Nuance Communications in Aachen, Germany.

I currently am a returning intern (Summers 2010 and 2011) with the Google Translate team in Mountain View, where I work with Ashish Venugopal.

My legal name, as per my passport, is Jurij Ganitkevic. It's the result of an unfortunate transliteration accident and I much prefer the old spelling of my name that you see above. I continue to use it in publications, and generally wherever I can get away with it.

Projects

Publications

Contact

My email address is juri at CS dot JHU dot edu. You can also follow my rather unprofessional musings on Twitter.