text.alignment: Text Alignment with Smith-Waterman

Find similarities between texts using the Smith-Waterman algorithm. The algorithm performs local sequence alignment and determines similar regions between two strings. The Smith-Waterman algorithm is explained in the paper: "Identification of common molecular subsequences" by T.F.Smith and M.S.Waterman (1981), available at <doi:10.1016/0022-2836(81)90087-5>. This package implements the same logic for sequences of words and letters instead of molecular sequences.

Version:	0.1.4
Imports:	Rcpp (≥ 0.11.5)
LinkingTo:	Rcpp
Suggests:	knitr, markdown
Published:	2023-09-14
Author:	Jan Wijffels [aut, cre, cph] (Rewrite of functionalities from the textreuse R package), Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities [cph], Lincoln Mullen [ctb, cph]
Maintainer:	Jan Wijffels <jwijffels at bnosac.be>
License:	MIT + file LICENSE
URL:	https://github.com/DIGI-VUB/text.alignment
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	text.alignment results

Documentation:

Reference manual:	text.alignment.pdf
Vignettes:	Text Alignment with Smith-Waterman

Downloads:

Package source:	text.alignment_0.1.4.tar.gz
Windows binaries:	r-devel: text.alignment_0.1.4.zip, r-release: text.alignment_0.1.4.zip, r-oldrel: text.alignment_0.1.4.zip
macOS binaries:	r-release (arm64): text.alignment_0.1.4.tgz, r-oldrel (arm64): text.alignment_0.1.4.tgz, r-release (x86_64): text.alignment_0.1.4.tgz, r-oldrel (x86_64): text.alignment_0.1.4.tgz
Old sources:	text.alignment archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=text.alignment to link to this page.