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<Paper uid="P01-1004">
  <Title>Low-cost, High-performance Translation Retrieval: Dumber is Better</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> In this paper, we compare the relative effects of segment order, segmentation and segment contiguity on the retrieval performance of a translation memory system. We take a selection of both bag-of-words and segment order-sensitive string comparison methods, and run each over both characterand word-segmented data, in combination with a rangeof local segment contiguitymodels(intheformofN-grams). null Overtwodistinctdatasets,wefindthat indexing according to simple character bigrams produces a retrieval accuracy superior to any of the tested word Ngrammodels. Further,intheiroptimum configuration,bag-of-wordsmethodsare  showntobeequivalenttosegmentordersensitive methods in terms of retrieval accuracy,butmuchfaster. Wealsoprovideevidencethatourfindingsarescal- null able.</Paragraph>
  </Section>
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