Package 'SnowballC'

Title: Snowball Stemmers Based on the C 'libstemmer' UTF-8 Library
Description: An R interface to the C 'libstemmer' library that implements Porter's word stemming algorithm for collapsing words to a common root to aid comparison of vocabulary. Currently supported languages are Arabic, Basque, Catalan, Danish, Dutch, English, Finnish, French, German, Greek, Hindi, Hungarian, Indonesian, Irish, Italian, Lithuanian, Nepali, Norwegian, Portuguese, Romanian, Russian, Spanish, Swedish, Tamil and Turkish.
Authors: Milan Bouchet-Valat [aut, cre]
Maintainer: Milan Bouchet-Valat <[email protected]>
License: BSD_3_clause + file LICENSE
Version: 0.7.1
Built: 2024-09-26 05:59:06 UTC
Source: https://github.com/nalimilan/r.temis

Help Index

Query the list of supported languages

Description

This dynamically determines the names of the languages for which stemming is currently supported by this package.

Usage

getStemLanguages()

Details

The language names in lower case are returned, though please note that two- and three- letter ISO-639 codes are also accepted by wordStem (see references for the list of codes).

This queries the C code for the list of languages that were compiled when the package was installed which in turn is determined by the code that was included in the distributed package itself.

Value

A character vector giving the names of the languages.

Author(s)

Milan Bouchet-Valat

References

http://snowball.tartarus.org/

http://www.loc.gov/standards/iso639-2/php/code_list.php for a list of ISO-639 language codes.

See Also

wordStem

Examples

getStemLanguages()

Get the stem of words

Description

This function extracts the stems of each of the given words in the vector.

Usage

wordStem(words, language = "porter")

Arguments

words

a character vector of words whose stems are to be extracted.
language

the name of a recognized language, as returned by getStemLanguages, or a two- or three-letter ISO-639 code corresponding to one of these languages (see references for the list of codes).

Details

This uses Dr. Martin Porter's stemming algorithm and the C libstemmer library generated by Snowball.

Value

A character vector with as many elements as there are in the input vector with the corresponding elements being the stem of the word. Elements of the vector are converted to UTF-8 encoding before the stemming is performed, and the returned elements are marked as such when they contain non-ASCII characters.

Author(s)

Milan Bouchet-Valat

References

http://snowball.tartarus.org/

http://www.loc.gov/standards/iso639-2/php/code_list.php for a list of ISO-639 language codes.

Examples

# Simple example
  wordStem(c("win", "winning", "winner"))

  # Test some of the vocabulary supplied at https://github.com/snowballstem/snowball-data
  for(lang in getStemLanguages()) {
      load(system.file("words", paste0(lang, ".RData"), package="SnowballC"))

      stopifnot(all(wordStem(dat$words, lang) == dat$stem))
  }

  stopifnot(is.na(wordStem(NA)))