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SS4MCT: A Statistical Stemmer for Morphologically Complex Texts
[article]
2016
arXiv
pre-print
There have been multiple attempts to resolve various inflection matching problems in information retrieval. Stemming is a common approach to this end. Among many techniques for stemming, statistical stemming has been shown to be effective in a number of languages, particularly highly inflected languages. In this paper we propose a method for finding affixes in different positions of a word. Common statistical techniques heavily rely on string similarity in terms of prefix and suffix matching.
arXiv:1605.07852v2
fatcat:auh37y2445exrcly5balol2zt4