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MaltParser is a system for data-driven dependency parsing, which can be used to induce a parsing model from treebank data and to parse new data using an induced model. MaltParser is developed by Johan Hall. Jens Nilsson and Joakim Nivre. At Växjö University and Uppsala University, Sweden. Of MaltParser is available from the MaltParser download page. 7 the jar-file has been changed to maltparser-1. A new tool for automatic MaltP.
Denton Magnet School of Technology. Dunbar Creative and Performing Arts Magnet School. E R Dickson Elementary School. Eichold-Mertz Magnet School of Math, Science and Technology.