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<Paper uid="W04-3227">
  <Title>Phrase Pair Rescoring with Term Weightings for Statistical Machine Translation</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We propose to score phrase translation pairs for statistical machine translation using term weight based models. These models employ tf.idf to encode the weights of content and non-content words in phrase translation pairs. The translation probability is then modeled by similarity functions defined in a vector space. Two similarity functions are compared.</Paragraph>
    <Paragraph position="1"> Using these models in a statistical machine translation task shows significant improvements.</Paragraph>
  </Section>
class="xml-element"></Paper>