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<Paper uid="W05-0832">
  <Title>Gaming Fluency: Evaluating the Bounds and Expectations of Segment-based Translation Memory</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Translation memories provide assistance to human translators in production settings, and are sometimes used as first-pass machine translation in assimilation settings because they produce highly fluent output very rapidly.</Paragraph>
    <Paragraph position="1"> In this paper, we describe and evaluate a simple whole-segment translation memory, placing it as a new lower bound in the well-populated space of machine translation systems. The result is a new way to gauge how far machine translation has progressed compared to an easily understood baseline system.</Paragraph>
    <Paragraph position="2"> The evaluation also sheds light on the evaluation metric and gives evidence showing that gaming translation with perfect fluency does not fool bleu the way it fools people.</Paragraph>
  </Section>
class="xml-element"></Paper>