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We apply our techniques over a random sample of 100 English words, each possessing both prefix and suffix. We also compare our proposed Stemmer with three standard algorithms from the literature. Empirical results exhibit that our technique performs better than the rest of the stemmers. <\/jats:p>","DOI":"10.1142\/s2196888820500074","type":"journal-article","created":{"date-parts":[[2020,2,4]],"date-time":"2020-02-04T07:45:01Z","timestamp":1580802301000},"page":"129-144","source":"Crossref","is-referenced-by-count":2,"title":["Simultaneous Removal of Prefix and Suffix"],"prefix":"10.1142","volume":"07","author":[{"given":"Pawan","family":"Tamta","sequence":"first","affiliation":[{"name":"Department of Mathematics, Government P.G. College, Berinag, Pithoragarh, Uttarakhand 262531, India"}]},{"given":"B. 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