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<Paper uid="C00-2170">
  <Title>Jurilinguistic Engineering in Cantonese Chinese: An N-gram-based Speech to Text Transcription System</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> A Cantonese Chinese transcription system to automatically convert stenograph code to Chinese characters ix reported. The major challenge in developing such a system is the critical homocode problem because of homonymy. The statistical N-gram model is used to compute the best combination of characters. Supplemented with a 0.85 million character corpus of donmin-specific training data and enhancement measures, the bigram and trigrmn implementations achieve 95% and 96% accuracy respectively, as compared with 78% accuracy in the baseline model. The system perforlnance is comparable with other adwmced Chinese Speech-to-Text input applications under development. The system meets an urgent need o1' the .ludiciary ot: post-</Paragraph>
  </Section>
class="xml-element"></Paper>