Stemming offers a simpler alternative to lemmatization. Stemming also attempts to reduce a word to a base form by removing affixes, but the resulting stem is not necessarily a proper lemma. Such stems can be useful in information retrieval applications.
All MorphAdorner stemmers must implement the {@link edu.northwestern.at.utils.corpuslinguistics.stemmer.Stemmer} interface. The {@link edu.northwestern.at.utils.corpuslinguistics.stemmer.StemmerFactory} provides the mechanism for instantiating a default or specified instance of a stemmer implementation.
Stemmers can also be used as pseudo-lemmatizers. See the {@link edu.northwestern.at.utils.corpuslinguistics.lemmatizer} package.
Two widely used stemmers are included in MorphAdorner.