He received his Ph.D. from Stanford University in 1995, and held faculty positions in the Computational Linguistics Program at Carnegie Mellon University (1994-1996) and in the University of Sydney Linguistics Department (1996-1999) before returning to Stanford. He is a Terman Fellow and recipient of an IBM Faculty Award. His recent work has concentrated on statistical parsing, grammar induction, and probabilistic approaches to problems such as word sense disambiguation, part-of-speech tagging, and named entity recognition, with an emphasis on complementing leading machine learning methods with use of rich linguistic features. Manning coauthored the leading textbook on statistical approaches to NLP (Manning and Schuetze 1999) and (with Dan Klein) received the best paper award at the Association for Computational Linguistics 2003 meeting for the paper Accurate Unlexicalized Parsing.