Search (3 results, page 1 of 1)

  • × theme_ss:"Multilinguale Probleme"
  • × theme_ss:"Retrievalalgorithmen"
  1. Nie, J.-Y.: Query expansion and query translation as logical inference (2003) 0.01 
    0.005843445 = product of:
  0.029217226 = sum of:
    0.029217226 = weight(_text_:u in 1425) [ClassicSimilarity], result of:
      0.029217226 = score(doc=1425,freq=2.0), product of:
        0.13460001 = queryWeight, product of:
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.041106213 = queryNorm
        0.21706703 = fieldWeight in 1425, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.046875 = fieldNorm(doc=1425)
  0.2 = coord(1/5)
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  2. Cross-language information retrieval (1998) 0.00 
    0.0042171436 = product of:
  0.021085719 = sum of:
    0.021085719 = weight(_text_:u in 6299) [ClassicSimilarity], result of:
      0.021085719 = score(doc=6299,freq=6.0), product of:
        0.13460001 = queryWeight, product of:
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.041106213 = queryNorm
        0.15665466 = fieldWeight in 6299, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.01953125 = fieldNorm(doc=6299)
  0.2 = coord(1/5)
    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
  3. Effektive Information Retrieval Verfahren in Theorie und Praxis : ausgewählte und erweiterte Beiträge des Vierten Hildesheimer Evaluierungs- und Retrievalworkshop (HIER 2005), Hildesheim, 20.7.2005 (2006) 0.00 
    0.0019478152 = product of:
  0.009739076 = sum of:
    0.009739076 = weight(_text_:u in 5973) [ClassicSimilarity], result of:
      0.009739076 = score(doc=5973,freq=2.0), product of:
        0.13460001 = queryWeight, product of:
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.041106213 = queryNorm
        0.07235568 = fieldWeight in 5973, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2744443 = idf(docFreq=4547, maxDocs=44218)
          0.015625 = fieldNorm(doc=5973)
  0.2 = coord(1/5)
    Editor
    Mandl, T. u. C. Womser-Hacker

Years

Languages

Types

Themes