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<?xml version="1.0" standalone="yes"?> <Paper uid="W05-0814"> <Title>ISI's Participation in the Romanian-English Alignment Task</Title> <Section position="10" start_page="93" end_page="93" type="concl"> <SectionTitle> 6 Conclusion </SectionTitle> <Paragraph position="0"> * Considering multiple stemming possibilities for each word seems important.</Paragraph> <Paragraph position="1"> * Alternating between increasing likelihood and decreasing error rate is a useful training approach which can be used for many problems.</Paragraph> <Paragraph position="2"> * Our model and training method improve upon a strong baseline for producing 1-to-many alignments. null * Our model and training method can be used with the &quot;intersection&quot; heuristic to produce higher quality 1-to-1 alignments * Models which can directly model many-to-many alignments and do not require heuristic symmetrization are needed to produce higher quality many-to-many alignments. Our training method can be used to train them.</Paragraph> </Section> class="xml-element"></Paper>