udpipe: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit

This natural language processing toolkit provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency parsing' of raw text. Next to text parsing, the package also allows you to train annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided at <http://universaldependencies.org/format.html>. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at <doi:10.18653/v1/K17-3009>.

Version: 0.8.3
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 0.11.5), data.table (≥ 1.9.6), Matrix, methods
LinkingTo: Rcpp
Suggests: knitr, topicmodels, lattice, parallel
Published: 2019-07-05
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [ctb, cph], Jana Strakov√° [ctb, cph]
Maintainer: Jan Wijffels <jwijffels at bnosac.be>
License: MPL-2.0
URL: https://bnosac.github.io/udpipe/en/index.html, https://github.com/bnosac/udpipe
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
In views: NaturalLanguageProcessing
CRAN checks: udpipe results


Reference manual: udpipe.pdf
Vignettes: UDPipe Natural Language Processing - Annotating text
UDPipe Natural Language Processing - Parallel
UDPipe Natural Language Processing - Model Building
UDPipe Natural Language Processing - Try it out
UDPipe Natural Language Processing - Basic Analytical Use Cases
UDPipe Natural Language Processing - Topic Modelling Use Cases
Package source: udpipe_0.8.3.tar.gz
Windows binaries: r-devel: udpipe_0.8.3.zip, r-devel-gcc8: udpipe_0.8.3.zip, r-release: udpipe_0.8.3.zip, r-oldrel: udpipe_0.8.3.zip
OS X binaries: r-release: udpipe_0.8.3.tgz, r-oldrel: udpipe_0.8.3.tgz
Old sources: udpipe archive

Reverse dependencies:

Reverse imports: cleanNLP, corpustools, TextForecast
Reverse suggests: BTM, crfsuite, ruimtehol, textrank
Reverse enhances: NLP


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