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 Straková [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-release: udpipe_0.8.3.zip, r-oldrel: udpipe_0.8.3.zip |
| macOS binaries: | r-release: udpipe_0.8.3.tgz, r-oldrel: udpipe_0.8.3.tgz |
| Old sources: | udpipe archive |
| Reverse imports: | cleanNLP, corpustools, nametagger, TextForecast |
| Reverse suggests: | BTM, crfsuite, ruimtehol, text2vec, textplot, textrank, word2vec |
| Reverse enhances: | NLP |
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