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... or no significant work has been done on Indian front especially for Gujarati language.The code of this stemmer is based on algorithm designed under guidance of Prof. Nikita Desai, India. It takes input file of type .txt containing Gujarati text encoded as UTF-8 and then removes stop words which are unessential. After processing rest of the words, it outputs corresponding file containing all stem words plus other details.

The Stemmer class transforms a word into its root form. The input word is provided from the add() methods. The stem() method will return the stem as will toString() after stem() has been called). The clear() method will wipe the Stemmer buffer and allow a new word to be input. This version extends Martin Porter's original stemming algorithm by allowing capital letters to exist in words. This version should also be plugged in wherever the old algorithm is used with few accommodations...