Lane Schwartz is an Assistant Professor of Computational Linguistics at the University of Illinois at Urbana-Champaign. His research includes work in computational linguistics for endangered languages, unsupervised grammar induction, cognitively-motivated language modelling, machine translation, computer-aided translation, and compiler-based approaches to neural network frameworks.
Dr. Schwartz holds a Ph.D in Computer Science from the University of Minnesota, an M.Phil in Computer Speech, Text and Internet Technology from the University of Cambridge, and a B.A. in Computer Science from Luther College with minors in German and Theatre/Dance. He is one of the original developers of Joshua, an open source toolkit for tree-based statistical machine translation, and was a frequent contributor to Moses, the de-facto standard for phrase-based statistical machine translation.