UDPipe

UDPipe is a trainable pipeline for tokenization, tagging, lemmatization and dependency parsing of CoNLL-U files. UDPipe is language-agnostic and can be trained given annotated data in CoNLL-U format. Trained models are provided for nearly all UD treebanks. UDPipe is available as a binary for Linux/Windows/OS X, as a library for C++, Python, Perl, Java, C#, and as a web service. Third-party R CRAN package also exists.

UDPipe is a free software distributed under the Mozilla Public License 2.0 and the linguistic models are free for non-commercial use and distributed under the CC BY-NC-SA license, although for some models the original data used to create the model may impose additional licensing conditions. UDPipe is versioned using Semantic Versioning.

Copyright 2017 by the Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University, Czech Republic.

Kielipankki version:  
UDPipe Kielipankki version
icon-info-circle Metadata and license
Access to Puhti
Source version:  
UDPipe
icon-info-circle Metadata and license
Access to GitHub
Look for all versions of this tool in META-SHARE  

For more information on this tool have a look at the UDPipe User’s manual

 

More information on the Kielipankki version:

Using UDPipe on CSC’s servers requires a CSC user account: https://research.csc.fi/accounts-and-projects

UDPipe is installed in CSC’s computing environment (invoke with: module load udpipe) in the following configuration:
Software: UDPipe 1.2.0
Models: 2.3-181115

UDPipe was compiled and installed from Source without local modifications. Please refer to the user’s manual.

The tool was installed using Ansible scripts that can be found here: https://github.com/CSCfi/Kielipankki-palvelut/tree/Dec2018/commandline/roles/udpipe


This resource group page has a Persistent Identifier: http://urn.fi/urn:nbn:fi:lb-2024021901

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Heidi Niva
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