Christian Monson
Post-Doctoral Fellow Center for Spoken Language UnderstandingI am currently organizing NW-NLP 2010, a Northwest Regional Speech and Natural Language Processing Workshop to be held at Microsoft Research on Friday, April 23, 2010. Take a look.
I am broadly interested in computational treatment of natural language — an area that includes everything from machine translation, natural language understanding, and parsing to information retrieval and speech recognition. I am currently working with Brian Roark and Zak Shafran on two natural language problems. First, I am extending my thesis work on unsupervised morphology induction. And Second, I am expanding an existing system for spoken term detection.
In December 2008 I graduated from the Language Technologies Institute at Carnegie Mellon University. My Ph.D. thesis describes ParaMor, an algorithm that automatically discovers the morphological structure of a language from nothing more than raw text from that language. Morpho Challenge is a peer-operated competition for unsupervised morphology induction algorithms. Out of the eight algorithm families which competed in the Morpho Challenge competitions held in 2007 and 2008, the ParaMor algorithm placed first at F1 of morpheme identification in four of five language tracks. My thesis advisors at Carnegie Mellon were Jaime Carbonell, Alon Lavie , and Lori Levin, With Ron Kaplan of PowerSet rounding out my thesis committee.