README

UDPipe
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UDPipe is an trainable pipeline for tokenization, tagging, lemmatization and
dependency parsing of CoNLL-U files. UDPipe is language-agnostic and can be
trained given only annotated data in CoNLL-U format. Trained models are provided
for nearly all UD treebanks. UDPipe is available as a binary, as a library for
C++, Python, Perl, Java, C#, and as a web service.

UDPipe is a free software under Mozilla Public License 2.0
(http://www.mozilla.org/MPL/2.0/) and the linguistic models are free for
non-commercial use and distributed under CC BY-NC-SA
(http://creativecommons.org/licenses/by-nc-sa/4.0/) license, although for some
models the original data used to create the model may impose additional
licensing conditions. UDPipe is versioned using Semantic Versioning
(http://semver.org/).

Copyright 2016 by Institute of Formal and Applied Linguistics, Faculty of
Mathematics and Physics, Charles University in Prague, Czech Republic.

UDPipe website http://ufal.mff.cuni.cz/udpipe contains download links of both
the released packages and trained models, hosts documentation and offers online
demo.

UDPipe development repository http://github.com/ufal/udpipe is hosted on GitHub.