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<Paper uid="H01-1005">
  <Title>The Annotation Graph Toolkit: Software Components for Building Linguistic Annotation Tools</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1. INTRODUCTION
</SectionTitle>
    <Paragraph position="0"> Annotation graphs (AGs) provide an efficient and expressive data model for linguistic annotations of time-series data [2]. This paper reports progress on a complete software infrastructure supporting the rapid development of tools for transcribing and annotating time-series data. This general-purpose infrastructure uses annotation graphs as the underlying model, and allows developers to quickly create special-purpose annotation tools using common components. This work is being done in cooperation with the developers of other widely used annotation systems, Transcriber and Emu [1, 3].</Paragraph>
    <Paragraph position="1"> The infrastructure is being used in the development of a series of annotation tools at the Linguistic Data Consortium. Several such tools are shown in the paper: one for dialogue annotation, one for telephone conversation transcription, and one for interlinear transcription aligned to speech.</Paragraph>
    <Paragraph position="2"> This paper will cover the following points: the application programming interfaces for manipulating annotation graph data and importing data from other formats; the model of inter-component .</Paragraph>
    <Paragraph position="3"> communication which permits easy reuse of software components; and the design of the graphical user interfaces, which have been tailored to be maximally ergonomic for the tasks.</Paragraph>
    <Paragraph position="4"> The project homepage is: [http://www.ldc.upenn.edu/ AG/]. The software tools and software components described in this paper are available through a CVS repository linked from this homepage.</Paragraph>
  </Section>
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