Our aim is to create a simple-to-use, one-binary and a single-model tool (per language), to easily process raw text to CoNLL-U-formatted tagged and/or parsed dependency trees (with morphological features if available in UD).
our goals are • state-of-the-art tools for tokenization, morphological analysis, part-of-speech tagging and dependency parsing, • free C++ tools available under the Mozilla Public License (MPL) 2.0 license (code) and CC BY-NC-SA 4.0 license (models), • simple tool with a single model (per language), easily trainable with custom data (CoNLL-U format), • trained models provided for as many UD treebanks as possible, • no feature engineering, no external morphological dictionary, no language specific knowledge, • efficient programming design in terms of RAM and disc usage.