Search (1 results, page 1 of 1)

0.018471893 = product of:
  0.036943786 = sum of:
    0.036943786 = product of:
      0.07388757 = sum of:
        0.07388757 = weight(_text_:retrieval in 7430) [ClassicSimilarity], result of:
          0.07388757 = score(doc=7430,freq=8.0), product of:
            0.15791564 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.052204985 = queryNorm
            0.46789268 = fieldWeight in 7430, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0546875 = fieldNorm(doc=7430)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

This article describes a framework for cross-language information retrieval that efficiently leverages statistical estimation of translation probabilities. The framework provides a unified perspective into which some earlier work on techniques for cross-language information retrieval based on translation probabilities can be cast. Modeling synonymy and filtering translation probabilities using bidirectional evidence are shown to yield a balance between retrieval effectiveness and query-time (or indexing-time) efficiency that seems well suited large-scale applications. Evaluations with six test collections show consistent improvements over strong baselines.