The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10335758" target="_blank" >RIV/00216208:11320/16:10335758 - isvavai.cz</a>
Result on the web
<a href="http://ufal.mff.cuni.cz/udpipe" target="_blank" >http://ufal.mff.cuni.cz/udpipe</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
UDPipe
Original language description
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 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.
Czech name
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Czech description
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Classification
Type
R - Software
CEP classification
AI - Linguistics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LM2015071" target="_blank" >LM2015071: Language Research Infrastructure in the Czech Republic</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
ufal.mff.cuni.cz/udpipe
Technical parameters
Výsledek volně dostupný na adrese http://ufal.mff.cuni.cz/udpipe.
Economical parameters
513592
Owner IČO
00216208
Owner name
Univerzita Karlova v Praze