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: 0.1.2
Imports: Rcpp (≥ 0.11.5)
LinkingTo: Rcpp
Suggests: knitr, markdown
Published: 2020-09-08
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 <jan.wijffels at vub.be>
License: MIT + file LICENSE
URL: https://github.com/DIGI-VUB/text.alignment
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: text.alignment results


Reference manual: text.alignment.pdf
Vignettes: Text Alignment with Smith-Waterman
Package source: text.alignment_0.1.2.tar.gz
Windows binaries: r-devel: text.alignment_0.1.2.zip, r-devel-UCRT: text.alignment_0.1.2.zip, r-release: text.alignment_0.1.2.zip, r-oldrel: text.alignment_0.1.2.zip
macOS binaries: r-release (arm64): text.alignment_0.1.2.tgz, r-release (x86_64): text.alignment_0.1.2.tgz, r-oldrel: text.alignment_0.1.2.tgz
Old sources: text.alignment archive


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