tCorpus$annotate_rsyntax | R Documentation |
Apply queries to extract syntax patterns, and add the results as three columns to a tokenlist. The first column contains the ids for each hit. The second column contains the annotation label. The third column contains the fill level (which you probably won't use, but is important for some features). Only nodes that are given a name in the tquery (using the label parameter) will be added as annotation.
Note that while queries only find 1 node for each labeled component of a pattern (e.g., quote queries have 1 node for "source" and 1 node for "quote"), all children of these nodes can be annotated by settting fill to TRUE. If a child has multiple ancestors, only the most direct ancestors are used (see documentation for the fill argument).
Usage:
## R6 method for class tCorpus. Use as tc$method (where tc is a tCorpus object).
annotate_rsyntax(column, ..., block = NULL, fill = TRUE, overwrite = FALSE, block_fill = FALSE, copy = TRUE, verbose = FALSE)
column |
The name of the column in which the annotations are added. The unique ids are added as column_id |
... |
One or multiple tqueries, or a list of queries, as created with |
block |
Optionally, specify ids (doc_id - sentence - token_id triples) that are blocked from querying and filling (ignoring the id and recursive searches through the id). |
fill |
Logical. If TRUE (default) also assign the fill nodes (as specified in the tquery). Otherwise these are ignored |
overwrite |
Applies if column already exists. If TRUE, existing column will be overwritten. If FALSE, the existing annotations in the column will be blocked, and new annotations will be added. This is identical to using multiple queries. |
block_fill |
If TRUE (and overwrite is FALSE), the existing fill nodes will also be blocked. In other words, the new annotations will only be added if the |
verbose |
If TRUE, report progress (only usefull if multiple queries are given) |
library(rsyntax)
## spacy tokens for: Mary loves John, and Mary was loved by John
tokens = tokens_spacy[tokens_spacy$doc_id == 'text3',]
tc = tokens_to_tcorpus(tokens)
## two simple example tqueries
passive = tquery(pos = "VERB*", label = "predicate",
children(relation = c("agent"), label = "subject"))
active = tquery(pos = "VERB*", label = "predicate",
children(relation = c("nsubj", "nsubjpass"), label = "subject"))
tc$annotate_rsyntax("clause", pas=passive, act=active)
tc$tokens
if (interactive()) {
plot_tree(tc$tokens, annotation='clause')
}
if (interactive()) {
syntax_reader(tc$tokens, annotation = 'clause', value='subject')
}
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