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<Paper uid="W03-0807">
  <Title>Current Issues in Software Engineering for Natural Language Processing</Title>
  <Section position="6" start_page="0" end_page="0" type="concl">
    <SectionTitle>
4 Summary and Conclusion
</SectionTitle>
    <Paragraph position="0"> Whereas the evaluation of effectiveness of NLP methods has become an integral part of research papers, architectural evaluation is often neglected. It should also be recognized as vital part of engineering research publications, including an assessment of standard compliance, rapid deployability, maintainability and flexibility of design (Nyberg and Mitamura, 2002). Researchers should strive toward development of component APIs rather than prototypes to foster cross-fertilization and reuse. Frameworks are a valuable asset on the way as they embody common assumptions, but (unlike toolkits) they are not normally inter-operable with other frameworks. Already the horizon, NLP composition languages and could be an attractive solution to problems of productivity and reuse.</Paragraph>
    <Paragraph position="1"> Acknowledgments. The author would like to acknowledge the financial support of the German Academic Exchange Service (DAAD) under grant D/02/01831 and of Linguit GmbH (research contract UK-2002/2).</Paragraph>
  </Section>
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