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<Paper uid="P97-1037">
  <Title>Transformation Step Original CorPora + Categorization + 'por2favor ' + Word Splitting Translation Errors \[~.\]</Title>
  <Section position="7" start_page="294" end_page="295" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we have presented an HMM based approach to handling word alignlnents and an associated search algorithm for autonaatic translation. The characteristic feature of this approach is to make the aligmnent probabilities explicitly dependent on the Mignment position of the previous word and t.o assume a monotony constraint for the word order in both languages. Due t.o this mOllOtony constraint.</Paragraph>
    <Paragraph position="1"> we are able to apply an efficient DP based search algorithln. We have tested the model successfully on the EuTrans traveller task, a limited domain task with a vocabulary of 200 to 500 words. The result- null translation, O'= original sentence reordered, A'= aut, omatic translation after reordering. O: CuPSnto cuesta una habitacidn doble para cinco noches incluyendo servicio de habitaciones ? R: How much does a double room including room service cost for five nights ? A: How much does a double room including room service ? O': Cu~into cuesta una habitacidn doble incluyendo servicio' de habitaciones cuesta para cinco noches ? A': How much does a double room hlcluding room service cost for five nights ? O:. Expli'que _me la factura de la habitacidn tres dos cuatro.</Paragraph>
    <Paragraph position="2"> R: Explain the bill for room number three two four for me.</Paragraph>
    <Paragraph position="3"> A: Explain the bill for room number three two four.</Paragraph>
    <Paragraph position="4"> O': Explique la faclura de la habitaci6n tres dos cuatro .ane.</Paragraph>
    <Paragraph position="5"> A: Explain tile bill for rooln number three two four for me.</Paragraph>
    <Paragraph position="6"> ing word error rate was only 5.1V(. To mitigate the monotony constraint, we plan to reorder the words in the source sentences to produce the same word order in both languages.</Paragraph>
  </Section>
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