#' Match first sentence to paragraphs (rw_match_first)
#'
#' Input is a text file with multiple paragraphs.
#' Output is a text file for each paragraph with the first
#' sentence removed and with the first sentences listed
#' in random order.
#'
#' @param infile A text file containing several paragraphs.
#' @param title Title of text (e.g. paper reference).
#' @param part Part of the text (e.g. paper section).
#' Used in filenames.
#' @param project Project nickname for use in filenames
#' @param parabreak The characters that designate paragraph
#' breaks in the input
#' @return A text file of paragraphs with first sentences
#' removed and random list of first sentences
#' @export
#'
rw_match_first = function(infile, title = "title", part = "section", project = "name", parabreak = "\r\n")
{
paragraphs = tokenize_paragraphs(infile, parabreak, simplify = FALSE)
paragraph_vec = paragraphs[[1]]
sent_all = lapply(paragraphs, tokenize_sentences)
sent_all = sent_all[[1]]
num.para = length(paragraph_vec)
no.first.vector = NULL
first.vector = NULL
for (index in 1:num.para)
{
sentence_vec = sent_all[[index]]
sentence_vec = trimws(sentence_vec)
num.sentences = length(sentence_vec)
first.sent = paste(sentence_vec[1], "\n")
no.first = NULL
for (sent in 2:num.sentences)
{
no.first = paste(no.first, sentence_vec[sent], sep = " ")
}
no.first = paste(no.first, "\n")
no.first.vector = append(no.first.vector, no.first)
first.vector = append(first.vector, first.sent)
}
first.vector = sample(first.vector)
match.first.vector = append(no.first.vector, "First sentences in random order\n\n")
match.first.vector = append(match.first.vector, first.vector)
nr <- num.para*2 + 1
match.first.matrix <- as.matrix(match.first.vector, nr, 1)
file.name = paste(project, part, "Match_First.txt", sep = "_")
cname = paste(title, "\n\n", part, "\n", "Topic sentences removed", "\n\n", sep ="")
colnames(match.first.matrix) = c(cname)
write.table(match.first.matrix, file.name, row.names = T, col.names=T, sep = "\t", quote = F)
}
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