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<?xml version="1.0" standalone="yes"?> <Paper uid="P04-1069"> <Title>Probabilistic Parsing Strategies</Title> <Section position="8" start_page="3" end_page="3" type="concl"> <SectionTitle> 7 Conclusions </SectionTitle> <Paragraph position="0"> We have formalized the notion of CFG parsing strategy as a mapping from CFGs to PDTs, and have investigated the extension to probabilities. We have shown that the question of which parsing strategies can be extended to become probabilistic heavily relies on two properties, the correct-prefix property and the strong predictiveness property. As far as we know, this is the first general characterization that has been provided in the literature for probabilistic extension of CFG parsing strategies. We have also shown that there is at least one strategy of practical interest with the CPP but without the SPP, namely LR parsing, that cannot be extended to become a probabilistic parsing strategy.</Paragraph> </Section> class="xml-element"></Paper>