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<Paper uid="J90-3003">
  <Title>A COMPUTATIONAL GRAMMAR OF DISCOURSE-NEUTRAL PROSODIC PHRASING IN ENGLISH</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
A COMPUTATIONAL GRAMMAR OF DISCOURSE-NEUTRAL PROSODIC
PHRASING IN ENGLISH
</SectionTitle>
    <Paragraph position="0"> J. Bachenko and E. Fitzpatrick AT &amp; T Bell Laboratories Murray Hill, NJ 07974 We describe an experimental text-to-speech system that uses information about syntactic constituency, adjacency to a verb, and constituent length to determine prosodic phrasing for synthetic speech. A central goal of our work has been to characterize &amp;quot;discourse neutral&amp;quot; phrasing, i.e. sentence-level phrasing patterns that are independent of discourse semantics. Our account builds on Bachenko et al. (1986), but differs in its treatment of clausal structure and predicate-argument relations. Results so far indicate that the current system performs well when measured against a corpus of judgments of prosodic phrasing.</Paragraph>
  </Section>
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