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The isri stemmer has demonstrated a strong ability to improve document clustering [19] This paper introduces an arabic stemmer system based on arabic rules to extract trilateral (three radicals), quadrilateral (four radicals), sometimes quintuple (five radicals) and hexagonal (six radicals) if available. In this paper, an arabic light stemmer is introduced to enable the removal of prefixes, waw, and suffixes
Kousaka Kirino (v2) created with SeaArt AI
Also, to the best of our knowledge, this work is the first of its kind, as it is based on isri stemming algorithm for arabic language. Arabic stemmer is not an easy task due to the morphological variants of certain words which are not always semantically related A light stemmer plays safe in order to avoid overstemming errors, but consequently leaves many understemming errors
A heavy stemmer boldly removes all sorts of endings, some of which are decidedly unsafe, and therefore commits many overstemming errors [12]
Shereen khoja addressed the problems that might face the arabic stemmer [9]: This paper is a comparative study for the most of the existing stemmers that uses different approaches for stemming These stemmers are about twenty which are A survey of arabic light stemming exhibits various tools, each with advantages and drawbacks
Larkey et al.'s light10 stemmer [8], [9], which utilizes affix stripping, is widely used despite issues with erroneous, single, and ambiguous outcomes This package is a stemmer for texts in arabic (modern standard) The stemmer is loosely based on the light 10 stemmer, but with a number of modifications.
