Experiments with a Multilanguage Non Projective Dependency Parser

We use three machine-learning methods to assign Cast3LB function tags to sentences parsed with Bikel’s parser trained on the Cast3LB treebank.. The best performing method, SVM,

In particular, we: (1) ran every trained mono- lingual model on the sample sets, (2) for each sur- prise language, we chose the top three languages where the corresponding

The technique uses standard classifiers to predict a weighted con- straint satisfaction problem, the solution to which is the complete dependency tree.. Constraints that are

This was done by comparing the performance of a statistical parser (DeSR) trained on a simpler resource (the augmented version of the Merged Italian Dependency Treebank or