  In Vietnamese dependency parsing, several methods have been proposed.
Dependency parser which uses deep neural network model has been reported that
achieved state-of-the-art results. In this paper, we proposed a new method
which applies LSTM easy-first dependency parsing with pre-trained word
embeddings and character-level word embeddings. Our method achieves an accuracy
of 80.91% of unlabeled attachment score and 72.98% of labeled attachment score
on the Vietnamese Dependency Treebank (VnDT).
