as.data.frame.udpipe_connlu: Convert the result of udpipe_annotate to a tidy data frame

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

Convert the result of udpipe_annotate to a tidy data frame

Description

Convert the result of udpipe_annotate to a tidy data frame

Usage

## S3 method for class 'udpipe_connlu'
as.data.frame(x, ...)

Arguments

x	an object of class udpipe_connlu as returned by udpipe_annotate
...	currently not used

Value

a data.frame with columns doc_id, paragraph_id, sentence_id, sentence, token_id, token, lemma, upos, xpos, feats, head_token_id, dep_rel, deps, misc

The columns paragraph_id, sentence_id are integers, the other fields are character data in UTF-8 encoding.

To get more information on these fields, visit https://universaldependencies.org/format.html or look at udpipe.

See Also

udpipe_annotate

Examples

model    <- udpipe_download_model(language = "dutch-lassysmall")

if(!model$download_failed){

ud_dutch <- udpipe_load_model(model$file_model)
txt <- c("Ik ben de weg kwijt, kunt u me zeggen waar de Lange Wapper ligt? Jazeker meneer", 
         "Het gaat vooruit, het gaat verbazend goed vooruit")
x <- udpipe_annotate(ud_dutch, x = txt)
x <- as.data.frame(x)
head(x)

}

## cleanup for CRAN only - you probably want to keep your model if you have downloaded it
if(file.exists(model$file_model)) file.remove(model$file_model)

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