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<Paper uid="W01-1514">
  <Title>Annotation Graphs and Servers and Multi-Modal Resources: Infrastructure for Interdisciplinary Education, Research and Development</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> Despite different methodologies, goals and traditions, researchers in a variety of specialties in linguistics and computational linguistics share a core of assumptions and needs. Research communities in empirical linguistics, natural language processing, speech recognition, information retrieval and language teaching have a common need for language resources such as observations of linguistic performance, annotations encoding human judgment, standards for maintaining consistency among distributed resources and processes for extracting relevant observations. Where needs overlap, there is the opportunity to reuse existing resources and coordinate new initiatives so that communities share the burden of development while benefiting from the results.</Paragraph>
    <Paragraph position="1"> Where computational linguistics interacts with other areas of language research and teaching, there are additional opportunities for symbiosis. Natural language technology may offer greater access and robustness to empirical linguistic research that in turn may offer new data necessary to develop new technologies. This paper discusses common infrastructure for the annotation of linguistic data and the application of that infrastructure to several traditionally very diverse fields of inquiry.</Paragraph>
  </Section>
class="xml-element"></Paper>