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<Paper uid="W06-3103">
  <Title>Morpho-syntactic Arabic Preprocessing for Arabic-to-English Statistical Machine Translation</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> The Arabic language has far richer systems of inflection and derivation than English which has very little morphology.</Paragraph>
    <Paragraph position="1"> This morphology difference causes a large gap between the vocabulary sizes in any given parallel training corpus. Segmentation of inflected Arabic words is a way to smooth its highly morphological nature. In this paper, we describe some statistically and linguistically motivated methods for Arabic word segmentation.</Paragraph>
    <Paragraph position="2"> Then, we show the efficiency of proposed methods on the Arabic-English BTEC and NIST tasks.</Paragraph>
  </Section>
class="xml-element"></Paper>