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udpipe_annotation_params

List with training options set by the UDPipe community when building models based on the Universal Dependencies data


Description

In order to show the settings which were used by the UDPipe community when building the models made available when using udpipe_download_model, the tokenizer settings used for the different treebanks are shown below, so that you can easily use this to retrain your model directly on the corresponding UD treebank which you can download at http://universaldependencies.org/#ud-treebanks.

More information on how the models provided by the UDPipe community have been built are available at https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-2364

References

Examples

data(udpipe_annotation_params)
str(udpipe_annotation_params)

## settings of the tokenizer
head(udpipe_annotation_params$tokenizer)

## settings of the tagger
subset(udpipe_annotation_params$tagger, language_treebank == "nl")

## settings of the parser
udpipe_annotation_params$parser

udpipe

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

v0.8.5
MPL-2.0
Authors
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]
Initial release

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