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<Paper uid="W00-1405">
  <Title>DTD-Driven Bilingual Document Generation ...... ,Arantza Casillas ..... Departamento de Automgtica, Universidad de Alcalgt e-mail : arantza@aut, alcaia, es</Title>
  <Section position="6" start_page="36" end_page="37" type="evalu">
    <SectionTitle>
5 Evaluation
</SectionTitle>
    <Paragraph position="0"> Table 4 shows the number of words that make up the segments stored in TM2 from the source documents. There is a line for each document size considered. We can see that the average of segments contained in TM2 is 31.8%, on a scale from 34.91% to only 3.01%. The amount of segments dealt with in this way largely depends on the size of the document. Short documents (90.21) have about 35% of their text composed in this way. This figure goes down to 3% in documents larger than 1,000 words. This is understandable, in the sense that the larger the document, the smaller proportion of fixed sections it will contain.</Paragraph>
    <Paragraph position="1"> Table 5. shows the Immber of words that are proposed for the target document. These translations are obtained from what is stored in TM2 complemented by algorithms designed to translate dates and numbers. We can see that the average of document translated is 34%. Short documents have 36% of their text translated.</Paragraph>
    <Paragraph position="2"> falling to above 11% in t, he case of large docuIllents. null</Paragraph>
  </Section>
class="xml-element"></Paper>