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<Paper uid="P06-1001">
  <Title>Combination of Arabic Preprocessing Schemes for Statistical Machine Translation</Title>
  <Section position="10" start_page="6" end_page="7" type="concl">
    <SectionTitle>
7 Conclusions and Future Work
</SectionTitle>
    <Paragraph position="0"> We motivated, described and evaluated several preprocessing schemes for Arabic. The choice of a preprocessing scheme is related to the size of available training data. We also presented two techniques for scheme combination. Although the results we got are not as high as the oracle scores, they are statistically significant.</Paragraph>
    <Paragraph position="1"> In the future, we plan to study additional scheme variants that our current results support as potentially helpful. We plan to include more  syntactic knowledge. We also plan to continue investigating combination techniques at the sentence and sub-sentence levels. We are especially interested in the relationship between alignment and decoding and the effect of preprocessing scheme on both.</Paragraph>
  </Section>
class="xml-element"></Paper>