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<Paper uid="C00-2162">
  <Title>Improving SMT quality with morpho-syntactic analysis</Title>
  <Section position="7" start_page="1084" end_page="1084" type="concl">
    <SectionTitle>
5 Conclusion and Future Work
</SectionTitle>
    <Paragraph position="0"> In this paper, we have presented some methods of providing morphological aim syntactic intbrmat|on tbr improving the 1)ertbrmance of statistical machine trallslation. First ext)eriments prove their general aplflicalfility to reMistic and comI)lex tasks such as spontaneously spoken dialogs. null We are. 1)lamfing to integrate the al)t)roach into the search process. We are also working on language models and translation models that use mort)hological categories for smoothing in the case of unseen events.</Paragraph>
    <Paragraph position="1"> Acknowledgement. This work was partly supported by the German FederM Ministry of Education, Science, Research and Technology under the Contract Number 01 IV 701 q_'4 (VERBMOBIL) and as part of the EUTRANS project by the European Comnmnity (ESPRIT project number 30268).</Paragraph>
    <Paragraph position="2"> The authors would like to thank Gregor Leusch tbr his support in implementation.</Paragraph>
  </Section>
class="xml-element"></Paper>