From Treebank Conversion to Automatic Dependency Parsing for Vietnamese

Abstract This paper presents a new conversion method to automatically trans-form a constituent-based Vietnamese Treebank into dependency trees. On a de-pendency Treebank created according to our new approach, we examine two state-of-the-art dependency parsers: the MSTParser and the MaltParser. Experiments show that the MSTParser outperforms the MaltParser. To the best of our knowl-edge, we report the highest performances published to date in the task of depen-dency parsing for Vietnamese. Particularly, on gold standard POS tags, we get an unlabeled attachment score of 79.08 % and a labeled attachment score of 71.66%.