nltk.stem.snowball

module documentation

(source)

Snowball stemmers

This module provides a port of the Snowball stemmers developed by Martin Porter.

There is also a demo function: snowball.demo().

Class	`ArabicStemmer`	https://github.com/snowballstem/snowball/blob/master/algorithms/arabic/stem_Unicode.sbl (Original Algorithm) The Snowball Arabic light Stemmer Algorithm : Assem Chelli
Class	`DanishStemmer`	The Danish Snowball stemmer.
Class	`DutchStemmer`	The Dutch Snowball stemmer.
Class	`EnglishStemmer`	The English Snowball stemmer.
Class	`FinnishStemmer`	The Finnish Snowball stemmer.
Class	`FrenchStemmer`	The French Snowball stemmer.
Class	`GermanStemmer`	The German Snowball stemmer.
Class	`HungarianStemmer`	The Hungarian Snowball stemmer.
Class	`ItalianStemmer`	The Italian Snowball stemmer.
Class	`NorwegianStemmer`	The Norwegian Snowball stemmer.
Class	`PorterStemmer`	A word stemmer based on the original Porter stemming algorithm.
Class	`PortugueseStemmer`	The Portuguese Snowball stemmer.
Class	`RomanianStemmer`	The Romanian Snowball stemmer.
Class	`RussianStemmer`	The Russian Snowball stemmer.
Class	`SnowballStemmer`	Snowball Stemmer
Class	`SpanishStemmer`	The Spanish Snowball stemmer.
Class	`SwedishStemmer`	The Swedish Snowball stemmer.
Function	`demo`	This function provides a demonstration of the Snowball stemmers.
Class	`_LanguageSpecificStemmer`	This helper subclass offers the possibility to invoke a specific stemmer directly. This is useful if you already know the language to be stemmed at runtime.
Class	`_ScandinavianStemmer`	This subclass encapsulates a method for defining the string region R1. It is used by the Danish, Norwegian, and Swedish stemmer.
Class	`_StandardStemmer`	This subclass encapsulates two methods for defining the standard versions of the string regions R1, R2, and RV.

def demo(): (source) ¶

This function provides a demonstration of the Snowball stemmers.

After invoking this function and specifying a language, it stems an excerpt of the Universal Declaration of Human Rights (which is a part of the NLTK corpus collection) and then prints out the original and the stemmed text.