Parse_Annotator: Apache OpenNLP based parse annotator

In openNLP: Apache OpenNLP Tools Interface

Apache OpenNLP based parse annotator

Description

Generate an annotator which computes Penn Treebank parse annotations using the Apache OpenNLP chunking parser for English.

Usage

Parse_Annotator()

Details

Using the generated annotator requires installing package openNLPmodels.en from the repository at https://datacube.wu.ac.at (which provides the Maxent model file used by the parser).

Value

An Annotator object giving the generated parse annotator.

See Also

https://opennlp.apache.org for more information about Apache OpenNLP.

Examples

## Requires package 'openNLPmodels.en' from the repository at
## <https://datacube.wu.ac.at>.
if(nzchar(system.file(package = "openNLPmodels.en"))) {
    use("NLP")
    ## Some text.
    s <- paste(c("Pierre Vinken, 61 years old, will join the board as a ",
                 "nonexecutive director Nov. 29.\n",
                 "Mr. Vinken is chairman of Elsevier N.V., ",
                 "the Dutch publishing group."),
               collapse = "")
    s <- as.String(s)

    ## Need sentence and word token annotations.
    sent_token_annotator <- Maxent_Sent_Token_Annotator()
    word_token_annotator <- Maxent_Word_Token_Annotator()
    a2 <- annotate(s, list(sent_token_annotator, word_token_annotator))

    parse_annotator <- Parse_Annotator()
    ## Compute the parse annotations only.
    p <- parse_annotator(s, a2)
    ## Extract the formatted parse trees.
    ptexts <- sapply(p$features, `[[`, "parse")
    ptexts
    ## Read into NLP Tree objects.
    ptrees <- lapply(ptexts, Tree_parse)
    ptrees
}

openNLP documentation built on July 13, 2026, 5:08 p.m.