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<?xml version="1.0" standalone="yes"?> <Paper uid="W01-0812"> <Title>Reusing a Statistical Language Model for Generation</Title> <Section position="1" start_page="0" end_page="0" type="abstr"> <SectionTitle> Abstract </SectionTitle> <Paragraph position="0"> A relatively self-contained subtask of natural language generation is sentence realization: the process of generating a grammatically correct sentence from an abstract semantic / logical representation. We propose a method where sentence realization is carried out using a simplified (context free) version of a large analysis grammar, combined with a statistical language model from the full (context sensitive) version of the same grammar. The statistical model provides a measure of the probability of syntactic substructures, derived from the analysis of a corpus with the full grammar, and is used to guide both subsequent analysis and generation.</Paragraph> </Section> class="xml-element"></Paper>