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<?xml version="1.0" standalone="yes"?> <Paper uid="W00-1303"> <Title>Japanese Dependency Structure Analysis Based on Support Vector Machines</Title> <Section position="6" start_page="24" end_page="24" type="concl"> <SectionTitle> 5 Summary </SectionTitle> <Paragraph position="0"> This paper proposes Japanese dependency analysis based on Support Vector Machines.</Paragraph> <Paragraph position="1"> Through the experiments with Japanese bracketed corpus, the proposed method achieves a high accuracy even with a small 3With AlphaServer 8400 (617Mhz), it took 15 days to train with 7958 sentences.</Paragraph> <Paragraph position="2"> training data and outperforms existing methods based on Maximum Entropy Models. The result shows that Japanese dependency analysis can be effectively performed by use of SVMs due to its good generalization and nonoverfitting characteristics.</Paragraph> </Section> class="xml-element"></Paper>