Paper Improving Rule Based Stemmers to Solve Some Special Cases of Arabic Language

Analysis of Arabic language has become a necessity because of its big evolution; we propose in this paper a rule based extraction method of Arabic text to solve some weaknesses founded on previous research works. Our approach is divided on preprocessing phase, on which we proceed to the tokenization of the text, and formatting it by removing any punctuation, diacritics and non-letter characters. Treatment phase based on the elimination of several sets of affixes (diacritics, prefixes, and suffixes), and on the application of several patterns. A check phase that verifies if the root extracted is correct, by searching the result in root dictionaries