cbind_dependencies {udpipe}

Add the dependency parsing information to an annotated dataset

Description

Annotated results of udpipe_annotate contain dependency parsing results which indicate how each word is linked to another word and the relation between these 2 words.
This information is available in the fields token_id, head_token_id and dep_rel which indicates how each token is linked to the parent. The type of relation (dep_rel) is defined at https://universaldependencies.org/u/dep/index.html.
For example in the text 'The economy is weak but the outlook is bright', the term economy is linked to weak as the term economy is the nominal subject of weak.

This function adds the parent or child information to the annotated data.frame.

Usage

cbind_dependencies(
  x,
  type = c("parent", "child", "parent_rowid", "child_rowid"),
  recursive = FALSE
)

Arguments

x

a data.frame or data.table as returned by as.data.frame(udpipe_annotate(...))

type

either one of 'parent', 'child', 'parent_rowid', 'child_rowid'. Look to the return value section for more information on the difference in logic. Defaults to 'parent', indicating to add the information of the head_token_id to the dataset

recursive

in case when type is set to 'parent_rowid' or 'child_rowid', do you want the parent of the parent of the parent, ... or the child of the child of the child ... included. Defaults to FALSE indicating to only have the direct parent or children.

Details

Mark that the output which this function provides might possibly change in subsequent releases and is experimental.

Value

a data.frame/data.table in the same order of x where extra information is added on top namely:

• In case type is set to 'parent': the token/lemma/upos/xpos/feats information of the parent (head dependency) is added to the data.frame. See the examples.

• In case type is set to 'child': the token/lemma/upos/xpos/feats/dep_rel information of all the children is put into a column called 'children' which is added to the data.frame. This is a list column where each list element is a data.table with these columns: token/lemma/upos/xpos/dep_rel. See the examples.

• In case type is set to 'parent_rowid': a new list column is added to x containing the row numbers within each combination of doc_id, paragraph_id, sentence_id which are parents of the token.
  In case recursive is set to TRUE the new column which is added to the data.frame is called parent_rowids, otherwise it is called parent_rowid. See the examples.

• In case type is set to 'child_rowid': a new list column is added to x containing the row numbers within each combination of doc_id, paragraph_id, sentence_id which are children of the token.
  In case recursive is set to TRUE the new column which is added to the data.frame is called child_rowids, otherwise it is called child_rowid. See the examples.

Examples

## Not run: 
udmodel <- udpipe_download_model(language = "english-ewt")
udmodel <- udpipe_load_model(file = udmodel$file_model)
x <- udpipe_annotate(udmodel, 
                     x = "The economy is weak but the outlook is bright")
x <- as.data.frame(x)
x[, c("token_id", "token", "head_token_id", "dep_rel")]
x <- cbind_dependencies(x, type = "parent")
nominalsubject <- subset(x, dep_rel %in% c("nsubj"))
nominalsubject <- nominalsubject[, c("dep_rel", "token", "token_parent")]
nominalsubject

x <- cbind_dependencies(x, type = "child")
x <- cbind_dependencies(x, type = "parent_rowid")
x <- cbind_dependencies(x, type = "parent_rowid", recursive = TRUE)
x <- cbind_dependencies(x, type = "child_rowid")
x <- cbind_dependencies(x, type = "child_rowid", recursive = TRUE)
x
lapply(x$child_rowid, FUN=function(i) x[sort(i), ])

## End(Not run)