desc <- suppressWarnings(readLines("DESCRIPTION")) regex <- "(^Version:\\s+)(\\d+\\.\\d+\\.\\d+)" loc <- grep(regex, desc) ver <- gsub(regex, "\\2", desc[loc]) verbadge <- sprintf('<a href="https://img.shields.io/badge/Version-%s-orange.svg"><img src="https://img.shields.io/badge/Version-%s-orange.svg" alt="Version"/></a></p>', ver, ver) ```` [![Build Status](https://travis-ci.org/trinker/parser.svg?branch=master)](https://travis-ci.org/trinker/parser) [![Coverage Status](https://coveralls.io/repos/trinker/parser/badge.svg?branch=master)](https://coveralls.io/r/trinker/parser?branch=master) `r verbadge` ```r library(knitr) knit_hooks$set(htmlcap = function(before, options, envir) { if(!before) { paste('<p class="caption"><b><em>',options$htmlcap,"</em></b></p>",sep="") } }) knitr::opts_knit$set(self.contained = TRUE, cache = FALSE) knitr::opts_chunk$set(fig.path = "inst/figure/")
parser is a collection of tools used to parse sentences. The package is a wrapper for the NLP/openNLP packages that simplifies and extends the user experience.
To download the development version of parser:
Download the zip ball or tar ball, decompress and run R CMD INSTALL
on it, or use the pacman package to install the development version:
if (!require("pacman")) install.packages("pacman") pacman::p_load_gh("trinker/parser")
You are welcome to: submit suggestions and bug-reports at: https://github.com/trinker/parser/issues send a pull request on: https://github.com/trinker/parser/ * compose a friendly e-mail to: tyler.rinker@gmail.com
if (!require("pacman")) install.packages("pacman") pacman::p_load(parser, magrittr) txt <- c( "Really, I like chocolate because it is good. It smells great.", "Robots are rather evil and most are devoid of decency.", "He is my friend.", "Clifford the big red dog ate my lunch.", "Professor Johns can not teach", "", NA )
if(!exists('parse_ann')) { parse_ann <- parse_annotator() }
(x <- parser(txt, parse_ann))
plot(x[[2]])
par( mfrow = c(3, 2), oma = c(5,4,0,0) + 0.1, mar = c(0,0,1,1) + 0.1 ) invisible(lapply(x[1:5], plot))
get_phrase_type(x, "NP") %>% take() %>% get_leaves()
get_phrase_type_regex(x, "VP") %>% take() %>% get_phrase_type_regex("(VB|MD)") %>% take() %>% get_leaves()
get_phrase_type_regex(x, "VP") %>% take() %>% get_phrase_type_regex("NP") %>% take() %>% get_leaves()
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