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<Paper uid="J89-2002">
  <Title>PARSING WITH A SMALL DICTIONARY FOR APPLICATIONS SUCH AS TEXT TO SPEECH</Title>
  <Section position="14" start_page="104" end_page="104" type="concl">
    <SectionTitle>
8 CONCLUSION
</SectionTitle>
    <Paragraph position="0"> We have described a parser suitable for certain text processing applications where a complete parse may not be necessary. For example, specifying prosody in a text to speech system basically requires only three things: knowing where to pause (major syntactic boundaries), which words to stress (distinguishing content and function words), and whether the sentence requires a pitch fall or rise at the end (is it a yes-no question?). The parser uses a 300-word dictionary to identify common words and a set of linguistic constraints to determine likely syntactic structure. The system finds syntactic boundaries where a speaker reading the same text would likely pause, and labels each word with a part of speech with sufficient accuracy to assign proper stress.</Paragraph>
  </Section>
class="xml-element"></Paper>