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<Paper uid="C00-2098">
  <Title>A Context-Sensitive Model for Probabilistie LR Parsing of Spoken Language with Transformation-Based Postproeessing</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> Verbmobil (Wahlster, 1993) is a spontaneous speech-to-speech translation system and translates spoken German to English/Japanese and vice versa.</Paragraph>
    <Paragraph position="1"> Tile main domains are &amp;quot;appointment scheduling&amp;quot; and &amp;quot;travel planning&amp;quot;. There are several parallel analysis and translation modules in Verbmobil as described in (Ruhmd et al., 1998) and one of those analysis modules is the probabilistic parser de,;cribed ill this paper. A schematic diagraln of the Verbmobil system architecture is shown in figure 1.</Paragraph>
    <Paragraph position="2"> The input for the Vcrbmobil speaker independent speech recognizers is spontaneously spoken German (vocabuhlry 10,254 word forms), English (7,534 word forms) and Japanese (2,848 word forms). The output of the speech recognizers and tile prosody module is a prosodically annotated word graph. This word graph is sent to the Integrated Processing module which controls the three parsers (HPSG parser (Kiefer et al., 1999), chunk parser (Abney, 1991) and our probabilistic parser) of tile &amp;quot;deep&amp;quot; (semantics based) translation branch of Verbmobil. Our probabilistic parser is a shift-reduce parser and uses an A*-search to find the best scored path in the lattice that can be parsed by its context fi'ee grammar. Tile output of tile parser is the best scored context free analysis for this path. This syntax tree is passed to a transformation unit that corrects known systematic errors of tile probabilistic parser to correct trees.</Paragraph>
    <Paragraph position="3"> The result of this process is passed to a semantics construction module and processed by the other modules of the deep translation branch as shown in figure 1.</Paragraph>
  </Section>
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