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<?xml version="1.0" standalone="yes"?> <Paper uid="P96-1044"> <Title>Linguistic Structure as Composition and Perturbation</Title> <Section position="9" start_page="339" end_page="340" type="concl"> <SectionTitle> 7 Conclusions </SectionTitle> <Paragraph position="0"> No previous unsupervised language-learning procedure has produced structures that match so closely with linguistic intuitions. We take this as a vindication of the perturbation-of-compositions representation. Its ability to capture the statistical and linguistic idiosyncrasies of large structures without sac- null rificing the obvious regularities within them makes it a valuable tool for a wide variety of induction problems. null</Paragraph> </Section> class="xml-element"></Paper>