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<Paper uid="W04-1616">
  <Title>Stemming the Qur'an</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> In natural language, a stem is the morphological base of a word to which affixes can be attached to form derivatives. Stemming is a process of assigning morphological variants of words to equivalence classes such that each class corresponds to a single stem. Different stemmers have been developed for a wide range of languages and for a variety of purposes. Arabic, a highly inflected language with complex orthography, requires good stemming for effective text analysis.</Paragraph>
    <Paragraph position="1"> Preliminary investigation indicates that existing approaches to Arabic stemming fail to provide effective and accurate equivalence classes when applied to a text like the Qur'an written in Classical Arabic. Therefore, I propose a new stemming approach based on a light stemming technique that uses a transliterated version of the Qur'an in western script.</Paragraph>
  </Section>
class="xml-element"></Paper>