POS Tagging (State of the art)

"Standard" measure:

• Per token accuracy

"Standard" datasets:

• Training: sections 0-18 of WSJ
• Testing: sections 22-24 of WSJ

System Name	Short Description	Main Publications	Software (if available)	Results	Comments (i.e. extra resources used, train/test times, ...)
SVMTool	SVM Based tagger and tagger generator	Jesús Giménez and Lluís Márquez. SVMTool: A general POS tagger generator based on Support Vector Machines[1]	http://www.lsi.upc.es/~nlp/SVMTool/	97.16%
Stanford Tagger	Learning with Cyclic Dependency Network	Kristina Toutanova, Dan Klein, Christopher D. Manning, and Yoram Singer. Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network [2]	http://nlp.stanford.edu/software/tagger.shtml]	97.24%