udpipe_annotation_params: List with training options set by the UDPipe community when...

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

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

https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-2364

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 documentation built on Jan. 6, 2023, 5:06 p.m.