I am a National Science Foundation Graduate Research Fellow. For my Master's thesis, I developed state-of-the-art models for unsupervised spoken lecture segmentation. Most recently I was involved in the research and development effort behind Amazon's flagship Echo Natural Language Understanding device. In the summer of 2010, I interned with the Google Machine Translation Group . During the summer of 2007, I was advised by Kristina Toutanova as part of my research internship at the Microsoft Research Natural Language Processing group.
Spring, 2011: TA for 6.863: Natural Language Processing
(Prof. Robert Berwick)
Fall, 2007: TA for 6.864: Advanced Natural Language Processing (Prof. Michael Collins)
S. Fong, I. Malioutov, B. Yankama, and R.C. Berwick. Treebank Parsing and Knowledge of Language. In Cognitive Aspects of Computational Language Acquisition. Villavincencio, A.; Poibeau, T.; Korhonen, A.; Alishahi, A. (Eds.) Springer, 2013.
Igor Malioutov, Robert Berwick. Improving Statistical Parsing by Linguistic Regularization . In Proceedings of ISDA, 2010.
Igor Malioutov, Alex Park, Regina Barzilay, and James Glass. Making Sense of Sound: Unsupervised Topic Segmentation over Acoustic Input.In Proceedings of ACL, 2007. [bib]
James Glass, Timothy J. Hazen, Scott Cyphers, Igor Malioutov, David Huynh, and Regina Barzilay. Recent Progress in the MIT Spoken Lecture Processing Project. In Proceedings of INTERSPEECH, 2007.
Igor Malioutov. Minimum Cut Model for Spoken Lecture Segmentation. Master's Thesis. MIT, 2006.
Igor Malioutov, Regina Barzilay. Minimum Cut Model for Spoken Lecture Segmentation. In Proceedings of COLING-ACL 2006, pp. 9-16. [bib]
Gene Cooperman, Viet Ha Nguyen, Igor Malioutov. Parallelization of Geant4 Using TOP-C and Marshalgen. IEEE NCA, 2006. [bib]
Andrew L. Rukhin, Igor Malioutov. Fusion of biometric algorithms in the recognition problem. Pattern Recognition Letters 26(5): 679-684 (2005). [bib]