<?xml version="1.0" standalone="yes"?>
<Paper uid="P86-1024">
  <Title>A SENTENCE ANALYSIS METHOD FOR A JAPANESE BOOK READING MACHINE FOR THE BLIND</Title>
  <Section position="4" start_page="171" end_page="171" type="concl">
    <SectionTitle>
6. Conclusion
</SectionTitle>
    <Paragraph position="0"> A sentence analysis method used in a Japanese book reading machine has been described. Input sentences, where each character is allowed to have other candidates, are analyzed by using several word dictionaries, as well as employing syntactical examinations. After generating network structure, heuristic rules are applied in order to determine the most desirable sentence used for speech information generation. The results of experiments reveal: 99.1% of all characters used in two whole books have been correctly converted to their pronunciation.</Paragraph>
    <Paragraph position="1"> Even when the character recognition result is ambiguous, correct characters can often be chosen by the sentence analysis method. By manual selection, most incorrect characters can be corrected.</Paragraph>
    <Paragraph position="2"> Currently, the authors are improving the sentence analysis method including 'the heuristic rules and the contents of dictionaries through book reading experiments and data examinations. This work is, needless to say, aimed in offering better quality speech to the blind users in a short.computing time. Authors are expecting that their efforts will contribute to the welfare field.</Paragraph>
  </Section>
class="xml-element"></Paper>