His research uses machine learning methods applied to natural language processing, specifically neural machine translation between all human languages, tackling ambiguity in language using parsing algorithms. He has an interest in computational decipherment of ancient scripts and mysterious manuscripts.
Anoop Sarkar is the recipient of a 2013 and 2017 NSERC Discovery Accelerator Supplement award, a 2014 and 2009 Google Faculty Award, 2008 IBM Faculty Award and a 2012 NSERC Collaborative Research and Development Grant with industrial contributions from Boeing and AeroInfo Systems. He received the Excellence in Undergraduate Teaching Award in 2007 by the SFU Undergraduate Computing Science Student Society (CSSS).
Anoop Sarkar received his PhD from the Department of Computer and Information Sciences at the University of Pennsylvania under Prof. Aravind Joshi for his work on semi-supervised statistical parsing using Tree-Adjoining Grammars. Based on this background, he continues to be interested in formal-language theory (finite-state transducers, tree automata and stochastic formal grammars).