Straka Milan, Hajič Jan, Straková Jana and Hajič Jan jr. Parsing Universal Dependency Treebanks using Neural Networks and Search-Based Oracle. In Proceedings of the Fourteenth International Workshop on Treebanks and Linguistic Theories ({TLT\,14}), December 2015.

Parsito is a fast open-source dependency parser written in C++. Parsito is based on greedy transition-based parsing, it has very high accuracy and achieves a throughput of 30K words per second. Parsito can be trained on any input data without feature engineering, because it utilizes artificial neural network classifier. Trained models for all treebanks from Universal Dependencies project are available (37 treebanks as of Dec 2015).
Parsito is a free software under Mozilla Public License 2.0 and the linguistic models are free for non-commercial use and distributed under CC BY-NC-SA license, although for some models the original data used to create the model may impose additional licensing conditions. Parsito is versioned using Semantic Versioning.

Copyright 2015 by Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic.