For users who only want to have a decent robust dependency parser (and who are not interested in experimenting with different parsing algorithms, learning algorithms and feature models), we provide pretrained parsing models for a selection of languages. Note, however, that the parser presupposes that the input has been segmented and annotated in accordance with the format of the original training set (see details for each parser).
|Parser Model||Language||Treebank||MaltParser Version||Last update|
|engmalt||English||Penn Treebank||1.7 or later||March 12 2012|
|fremalt||French||French Treebank||1.7 or later||March 12 2012|
|swemalt||Swedish||Swedish Treebank||1.7.2 or later||September 25 2012|
Note: These models can be used for research purposes provided that you have a license for the treebank on which the model was trained. If you want to use them for commercial applications, please contact the license holder for the relevant treebank to find out which conditions apply.
Below we provide links to MaltParser models made available by other research groups.
|Parser Model||Language||Treebank||Contributor||MaltParser Version||Last update|
|espmalt||Spanish||IULA Treebank||IULA, Universitat Pompeu Fabra, Barcelona||1.7 or later||26 February 2013|