Automatic dictionary creation by sub-symbolic encoding of words (Contributo in atti di convegno)

Type
Label
  • Automatic dictionary creation by sub-symbolic encoding of words (Contributo in atti di convegno) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Alternative label
  • Vella F; Pilato G; Motisi I; Gaglio S (2006)
    Automatic dictionary creation by sub-symbolic encoding of words
    in 16th Italian Workshop on Neural Nets, Vietri sul Mare, ITALY, JUN 08-11, 2005
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Vella F; Pilato G; Motisi I; Gaglio S (literal)
Pagina inizio
  • 113 (literal)
Pagina fine
  • 119 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • NEURAL NETS (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 3931 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • DINFO ; ICAR (literal)
Titolo
  • Automatic dictionary creation by sub-symbolic encoding of words (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 3-540-33183-2 (literal)
Abstract
  • This paper describes a technique for automatic creation of dictionaries using sub-symbolic representation of words in cross-language context. Semantic relationship among words of two languages is extracted from aligned bilingual text corpora. This feature is obtained applying the Latent Semantic Analysis technique to the matrices representing terms co-occurrences in aligned text fragments. The technique allows to find the \"best translation\" according to a properly defined geometric distance in an automatically created semantic space. Experiments show an interesting correctness of 95% obtained in the best case. (literal)
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