Search (141 results, page 8 of 8)

1.08939676E-4 = product of:
  0.0026145522 = sum of:
    0.0026145522 = product of:
      0.007843656 = sum of:
        0.007843656 = weight(_text_:p in 6299) [ClassicSimilarity], result of:
          0.007843656 = score(doc=6299,freq=2.0), product of:
            0.078979194 = queryWeight, product of:
              3.5955126 = idf(docFreq=3298, maxDocs=44218)
              0.021966046 = queryNorm
            0.099312946 = fieldWeight in 6299, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5955126 = idf(docFreq=3298, maxDocs=44218)
              0.01953125 = fieldNorm(doc=6299)
      0.33333334 = coord(1/3)
  0.041666668 = coord(1/24)

Content

Enthält die Beiträge: GREFENSTETTE, G.: The Problem of Cross-Language Information Retrieval; DAVIS, M.W.: On the Effective Use of Large Parallel Corpora in Cross-Language Text Retrieval; BALLESTEROS, L. u. W.B. CROFT: Statistical Methods for Cross-Language Information Retrieval; Distributed Cross-Lingual Information Retrieval; Automatic Cross-Language Information Retrieval Using Latent Semantic Indexing; EVANS, D.A. u.a.: Mapping Vocabularies Using Latent Semantics; PICCHI, E. u. C. PETERS: Cross-Language Information Retrieval: A System for Comparable Corpus Querying; YAMABANA, K. u.a.: A Language Conversion Front-End for Cross-Language Information Retrieval; GACHOT, D.A. u.a.: The Systran NLP Browser: An Application of Machine Translation Technology in Cross-Language Information Retrieval; HULL, D.: A Weighted Boolean Model for Cross-Language Text Retrieval; SHERIDAN, P. u.a. Building a Large Multilingual Test Collection from Comparable News Documents; OARD; D.W. u. B.J. DORR: Evaluating Cross-Language Text Filtering Effectiveness