Jason R. Smith
Office: Computational Science and Engineering Building 321
I'm a sixth-year Ph.D. student working under Chris Callison-Burch and Adam
Lopez. My thesis topic is on mining parallel data, and both of my internships
(Microsoft Research in 2009 and Google in 2011) have been on this topic. My
focus in this area is on low-resource languages. Previously I've worked with
Jason Eisner on semi-supervised learning methods on large-scale data, and on
morphology with Jason and Markus Dreyer. I've also worked on the GALE program
with Damianos Karakos on system combination for machine translation.
As a masters student at Louisiana Tech
University under my previous advisor, Andrei Paun, I was focused mostly on
automata theory. Now I am interested in areas in natural language processing
which include the application of finite state automata, such as the morphology
work I've done with Markus Dreyer. My primary interest is in machine translation.
For one year I've been on the DARPA GALE
project, working in system combination for machine translation with Damianos
Karakos. In 2009, I
was an intern at Microsoft Research working with Chris Quirk and Kristina
Toutanova, and in 2011 I interned at Google, where I worked with Peng Xu and
Jakob Uszkoreit. With Jason Eisner, I worked on methods for large scale semi-supervised
In 2007, I was also a member of the ELERFED team in the
Worksop 2007, and have since been interested in methods of extracting knowledge from Wikipedia.
Here is a current CV.
Moved to the new CLSP website