Neural Nets pp 113-119 | Cite as

Automatic Dictionary Creation by Sub-symbolic Encoding of Words

  • Filippo Vella
  • Giovanni Pilato
  • Ignazio Motisi
  • Salvatore Gaglio
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3931)


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.


Information Retrieval Latent Semantic Analysis Semantic Relationship Semantic Space Geometric Distance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Filippo Vella
    • 1
  • Giovanni Pilato
    • 2
  • Ignazio Motisi
    • 1
  • Salvatore Gaglio
    • 1
    • 2
  1. 1.DINFO – Dipartimento di ingegneria INFOrmaticaUniversity of PalermoPalermoItaly
  2. 2.ICAR – Istituto di CAlcolo e Reti ad alte prestazioniItalian National Research CouncilPalermoItaly

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