Package: text.alignment 0.1.4
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.
Authors:
text.alignment_0.1.4.tar.gz
text.alignment_0.1.4.zip(r-4.5)text.alignment_0.1.4.zip(r-4.4)text.alignment_0.1.4.zip(r-4.3)
text.alignment_0.1.4.tgz(r-4.4-x86_64)text.alignment_0.1.4.tgz(r-4.4-arm64)text.alignment_0.1.4.tgz(r-4.3-x86_64)text.alignment_0.1.4.tgz(r-4.3-arm64)
text.alignment_0.1.4.tar.gz(r-4.5-noble)text.alignment_0.1.4.tar.gz(r-4.4-noble)
text.alignment_0.1.4.tgz(r-4.4-emscripten)text.alignment_0.1.4.tgz(r-4.3-emscripten)
text.alignment.pdf |text.alignment.html✨
text.alignment/json (API)
NEWS
# Install 'text.alignment' in R: |
install.packages('text.alignment', repos = c('https://digi-vub.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/digi-vub/text.alignment/issues
Last updated 1 years agofrom:ef66a751f9. Checks:OK: 4 NOTE: 5. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 15 2024 |
R-4.5-win-x86_64 | NOTE | Nov 15 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 15 2024 |
R-4.4-win-x86_64 | NOTE | Nov 15 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 15 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 15 2024 |
R-4.3-win-x86_64 | OK | Nov 15 2024 |
R-4.3-mac-x86_64 | OK | Nov 15 2024 |
R-4.3-mac-aarch64 | OK | Nov 15 2024 |
Exports:smith_watermansmith_waterman_misalignedsmith_waterman_pairwisetokenize_letterstokenize_spaces_punct
Dependencies:Rcpp
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Align text using Smith-Waterman | smith_waterman |
Extract misaligned elements | smith_waterman_misaligned |
Perform multiple alignments using Smith-Waterman | smith_waterman_pairwise |
Tokenise text into a sequence of characters | tokenize_letters |
Tokenise text into a sequence of words | tokenize_spaces_punct |