Description
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. RFTagger morphological annotations are expected.
CLARIN National Project
CLARIN centre
SfS: Uni-Tuebingen
Research domain
Linguistic Subject
Tool task
Country
Germany
Tool Type
Research Phase
Tool status
Input Language
Access Contact
Project Contact
Creator Contact
Source code
Resource
CMDI File Link
License
not specified
Inventory Scope
Distribution Type
not specified