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<?xml version="1.0" standalone="yes"?> <Paper uid="W05-0824"> <Title>RALI: SMT shared task system description</Title> <Section position="1" start_page="0" end_page="0" type="abstr"> <SectionTitle> Abstract </SectionTitle> <Paragraph position="0"> Thanks to the profusion of freely available tools, it recently became fairly easy to built a statistical machine translation (SMT) engine given a bitext. The expectations we can have on the quality of such a system may however greatly vary from one pair of languages to another. We report on our experiments in building phrase-based translation engines for the four pairs of languages we had to consider for the SMT sharedtask. null</Paragraph> </Section> class="xml-element"></Paper>