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<Paper uid="P97-1046">
  <Title>A Comparison of Head Transducers and Transfer for a Limited Domain Translation Application</Title>
  <Section position="5" start_page="363" end_page="363" type="evalu">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> There are many aspects to the effectiveness of the translation component of a speech translator, making comparisons between systems difficult. There is also an inherent difficulty in evaluating the translation task: a single source utterance has many valid translations and the validity of translations is a matter of degree. Despite this, we believe that in the comparison considered in this paper, it is reasonable to make an overall assessment that the head transducer system is more effective that the transfer-based system. One justification for this conclusion is that the systems were closely related, having identical sublanguage domain and test data, and using similar automata for analysis in the transfer system and transduction in the transducer system. Another justification is that it was not necessary to make difficult comparisons between different aspects of effectiveness: the transducer system performed better with respect to all the measures we looked at for accuracy, speed, memory, development effort and model complexity. Looking forward, the relative simplicity of head transducer models makes them more promising for further automating the development of translation applications.</Paragraph>
  </Section>
class="xml-element"></Paper>