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<?xml version="1.0" standalone="yes"?> <Paper uid="P91-1037"> <Title>PREDICTING INTONATIONAL PHRASING FROM TEXT</Title> <Section position="3" start_page="288" end_page="288" type="intro"> <SectionTitle> MUTUAL INFORMATION, GENERALIZED MUTUAL </SectionTitle> <Paragraph position="0"> INFORMATION scores can serve as indicators of intonational phrase boundaries (Magerman and Marcus, 1990).</Paragraph> <Paragraph position="1"> We will also examine possible interactions among the statistically important variables which have emerged from our initial study. CART techniques have worked extremely well at classifying phrase boundaries and indicating which of a set of potential variables appear most important. However, CART's step-wise treatment of variables, Ol>timization heuristics, and dependency on binary splits obscure the possible relationships that exist among the various factors. Now that we have discovered a set of variables which do well at predicting intonational boundary location, we need to understand just how these variables interact.</Paragraph> </Section> class="xml-element"></Paper>