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<Paper uid="P06-2107">
  <Title>translation</Title>
  <Section position="8" start_page="839" end_page="839" type="concl">
    <SectionTitle>
8 Conclusions
</SectionTitle>
    <Paragraph position="0"> Phrase-based models have been used for interactive CAT in this work. We show how SMT can be used, with slight adaptations, in a CAT system. A prototype has been developed in the framework of the TransType2 project (SchlumbergerSema S.A.</Paragraph>
    <Paragraph position="1"> et al., 2001).</Paragraph>
    <Paragraph position="2"> The experimental results have proved that the systems based on such models achieve a good performance, possibly, allowing a saving of human effort with respect to the classical post-editing operation. However, this fact must be checked by actual users.</Paragraph>
    <Paragraph position="3"> The main critical aspect of the interactive CAT system is the response time. To deal with this issue, other proposals are based on the construction of a word graphs. This method can reduce the generation capability of the fully fledged translation model (Och et al., 2003; Bender et al., 2005). The main contribution of the present proposal is a new decoding algorithm, that combines monotone and non-monotone search. It runs fast enough and the construction of word graph is not necessary.</Paragraph>
  </Section>
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