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<Paper uid="W02-0707">
  <Title>Koji TOCHINAI Graduate school of Business Administration</Title>
  <Section position="7" start_page="0" end_page="0" type="concl">
    <SectionTitle>
6 Conclusion and future works
</SectionTitle>
    <Paragraph position="0"> In this paper, we have described the proposed method and have evaluated the translation performance for conversations on travel English. We have con rmed that much appropriate acoustic information is extracted by comparing speech, and rules have been generated even if no target speech was obtained through the system.</Paragraph>
    <Paragraph position="1"> Many rules have been decided as candidates for each translation by calculating all registered rules with a high calculation cost. Therefore, we will need to apply a method for selecting most suitable rules from candidates and a clustering algorithm to decrease the number of registered rules and the calculation cost.</Paragraph>
    <Paragraph position="2"> We will consider adopting a new approach for realizing a more effective threshold without statistical information.</Paragraph>
    <Paragraph position="3"> We will also consider a possibility of the direct speech translation system from speech by a person with a handicap in the speech production organ to normal speech because conventional speech recognition methods are not able to assist those with a speech impediment.</Paragraph>
    <Paragraph position="4"> Acknowledgement This work is partially supported by the Grants from the Government subsidy for aiding scienti c researches (No.14658097) of the Ministry of Education, Culture, Sports, Science and Technology of Japan.</Paragraph>
  </Section>
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