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<Paper uid="P06-2111">
  <Title>Finding Synonyms Using Automatic Word Alignment and Measures of Distributional Similarity</Title>
  <Section position="12" start_page="871" end_page="872" type="concl">
    <SectionTitle>
8 Conclusions
</SectionTitle>
    <Paragraph position="0"> Parallel corpora are mostly used for tasks related to WSD. This paper shows that multilingual word alignments can be applied to acquire synonyms automatically without the need for resources such as bilingual dictionaries. A comparison with a monolingual syntax-based method shows that the alignment-based method is able to extract synonyms with much greater precision and recall. A human evaluation shows that the synonyms the alignment-based method nds are often missing in EWN. This leads us to believe that the precision scores attained by using EWN as a gold standard are too pessimistic. Furthermore it is good news that we seem to be able to nd synonyms that are not yet covered by existing resources.</Paragraph>
    <Paragraph position="1"> The precision scores are still not satisfactory and we see plenty of future directions. We would like to use linguistic processing such as PoS-tagging for word alignment to increase the accuracy of the alignment itself, to deal with compounds more effectively and to be able to lter out proposed synonyms that are of a different word class than the target word. Furthermore we would like to make use of the distributional similarity score to set a threshold that will remove a lot of errors. The last thing that remains for future work is to nd a more adequate way to combine the  syntax-based and the alignment-based methods.</Paragraph>
  </Section>
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