Search (1 results, page 1 of 1)

  • × author_ss:"Järvelin, K."
  • × theme_ss:"Multilinguale Probleme"
  1. Pirkola, A.; Puolamäki, D.; Järvelin, K.: Applying query structuring in cross-language retrieval (2003) 0.02
    0.016952079 = product of:
      0.050856233 = sum of:
        0.050856233 = weight(_text_:electronic in 1074) [ClassicSimilarity], result of:
          0.050856233 = score(doc=1074,freq=2.0), product of:
            0.19623034 = queryWeight, product of:
              3.9095051 = idf(docFreq=2409, maxDocs=44218)
              0.05019314 = queryNorm
            0.259166 = fieldWeight in 1074, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.9095051 = idf(docFreq=2409, maxDocs=44218)
              0.046875 = fieldNorm(doc=1074)
      0.33333334 = coord(1/3)
    
    Abstract
    We will explore various ways to apply query structuring in cross-language information retrieval. In the first test, English queries were translated into Finnish using an electronic dictionary, and were run in a Finnish newspaper database of 55,000 articles. Queries were structured by combining the Finnish translation equivalents of the same English query key using the syn-operator of the InQuery retrieval system. Structured queries performed markedly better than unstructured queries. Second, the effects of compound-based structuring using a proximity operator for the translation equivalents of query language compound components were tested. The method was not useful in syn-based queries but resulted in decrease in retrieval effectiveness. Proper names are often non-identical spelling variants in different languages. This allows n-gram based translation of names not included in a dictionary. In the third test, a query structuring method where the Boolean and-operator was used to assign more weight to keys translated through n-gram matching gave good results.