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<Paper uid="P98-1006">
  <Title>Automatic Acquisition of Hierarchical Transduction Models for Machine Translation</Title>
  <Section position="9" start_page="45" end_page="46" type="concl">
    <SectionTitle>
8 Concluding remarks
</SectionTitle>
    <Paragraph position="0"> We have described a method for learning a head transduction model automatically from translation examples. Despite the simplicity of the current version of this method, the experiment  we reported in this paper demonstrates that the method leads to reasonable performance for English-Spanish translation in a limited domain. We plan to increase the accuracy of the model using the kind of statistical modeling techniques that have contributed to improvements in automatic learning of speech recognition models in recent years. We have started to experiment with learning models for more challenging language pairs such as English to Japanese that exhibit more variation in word order and complex lexical transformations.</Paragraph>
  </Section>
class="xml-element"></Paper>