My research is in the area of knowledge acquisition, covering: NLP (extracting structure from text), data mining (efficient algorithms and data structures for working with large collections), and linguistic semantics (understanding how people convey knowledge). Some of my collaborators at JHU include: Kevin Duh, David Yarowsky, Jason Eisner, Matthew Post, James Mayfield, Paul McNamee, Max […]
My work is currently focused on statistical machine translation, but more broadly defined, my interest is to make use of the vast amount of information that is available in digital form.
Carey E. Priebe, Department of Applied Mathematics and Statistics, Johns Hopkins University. Research Areas of Interest: computational statistics, kernel and mixture estimates, statistical pattern recognition, dimensionality reduction, model selection, statistical inference for high-dimensional and graph data.
SANJEEV KHUDANPUR, PhD Dr. Khudanpur received the B.Tech. degree in Electrical Engineering from the Indian Institute of Technology, Bombay, in 1988, and the PhD degree in Electrical and Computer Engineering from the University of Maryland, College Park, in 1997. His doctoral dissertation was supervised by Prof. Prakash Narayan and was titled Model Selection and Universal […]
