Nathan is an ESR Researcher at the Institute of Formal and Applied Linguistics at Charles University in Prague.

Current Research

His current research is in dependency parsing and the effects of annotation style on dependency parsing and statistical machine translation.  Additionally, he plans on pursuing unsupervised learning methods to increase the scope of languages that can make use of dependency structures.

Research Background

Nathan’s undergraduate degree was completed at North Carolina State University in 2003. He completed my masters degree in Computer Science from The George Washington University in Washington DC while working for the Bureau of Labor Statistics in 2006. Before going to Charles University in Prague, he spent a year in Iceland on a Fulbright Fellowship and continued his research at NCSU.

Publications in CLARA:

[bib] 1. Martin Popel, David Marecek, Nathan Green and Zdenek Zabokrtsky, Influence of Parser Choice on Dependency-Based MT, Proceedings of the Sixth Workshop on Statistical Machine Translation, Edinburgh, Scotland, 2011, pp. 433-439, 2011

[bib] 2. Nathan Green, Effects of Noun Phrase Bracketing in Dependency Parsing and Machine Translation, Association for Computational Linguistics (ACL) Student Session, Portland, Oregon, 2011

[bib] 3. Nathan Green: Dependency Parsing. WDS’11 Proceedings of Contributed Papers,  Prague Czech Republic, pp. 137-142, 2011

Full list of publications including previous publications

Contact Information

green at ufal.mff.cuni.cz