Parse_Annotator: Apache OpenNLP based parse annotator

In openNLP: Apache OpenNLP Tools Interface

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>.

require("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 Oct. 30, 2019, 11:37 a.m.