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<Paper uid="P06-2026">
  <Title>Sydney, July 2006. c(c)2006 Association for Computational Linguistics Chinese-English Term Translation Mining Based on Semantic Prediction Gaolin Fang, Hao Yu, and Fumihito Nishino</Title>
  <Section position="9" start_page="204" end_page="204" type="concl">
    <SectionTitle>
7 Conclusions
</SectionTitle>
    <Paragraph position="0"> In this paper, the method based on semantic prediction is first proposed to acquire effective Web pages. The proposed method predicts possible meanings according to each constituent unit of Chinese term, and expands these items for searching using semantically relevant knowledge, and then the refined related terms are extracted from top retrieved documents through feedback learning to construct a new query expansion for acquiring more effective Web pages. For obtaining a correct translation list, the translation evaluation method using multi-features is presented to rank these candidates. Experimental results show that this method has good performance in Chinese-English translation acquisition, about 82.9% accuracy in the top 3 candidates.</Paragraph>
  </Section>
class="xml-element"></Paper>