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<Paper uid="A97-1036">
  <Title>An Open Distributed Architecture for Reuse and Integration of Heterogeneous NLP Components</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> The shift from Computational Linguistics to Language Engineering is indicative of new trends in NLP. This paper reviews two NLP engineering problems: reuse and integration, while relating these concerns to the larger context of applied NLP. It presents a software architecture which is geared to support the development of a variety of large-scale NLP applications: Information Retrieval, Corpus Processing, Multilingual MT, and integration of Speech Components.</Paragraph>
  </Section>
class="xml-element"></Paper>