RFreeStem: A multilanguage rule-free stemmer
Abstract
With the large expansion of available textual data, text mining has become of specialinterest. Due to their unstructured nature, such data require important preprocessing steps.Among them, stemming is a popularly used preprocessing method that extracts the root of thewords. However, the most popular algorithms are based on the application of rules, and there-fore highly language-related. We propose a new approach, the RFreeStem, that is rather basedon corpus and can therefore be applied on many languages.
Origin : Files produced by the author(s)
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