  We describe an automatic method for converting the Persian Dependency
Treebank (Rasooli et al, 2013) to Universal Dependencies. This treebank
contains 29107 sentences. Our experiments along with manual linguistic analysis
show that our data is more compatible with Universal Dependencies than the
Uppsala Persian Universal Dependency Treebank (Seraji et al., 2016), and is
larger in size and more diverse in vocabulary. Our data brings in a labeled
attachment F-score of 85.2 in supervised parsing. Our delexicalized
Persian-to-English parser transfer experiments show that a parsing model
trained on our data is ~2% absolutely more accurate than that of Seraji et al.
(2016) in terms of labeled attachment score.
