Word self-organization in time and space?: algorithms and evaluation. (Altre pubblicazioni)

Type
Label
  • Word self-organization in time and space?: algorithms and evaluation. (Altre pubblicazioni) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Alternative label
  • Ferro, Marcello; Marzi, Claudia; Pirrelli, Vito (2010)
    Word self-organization in time and space?: algorithms and evaluation.
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Ferro, Marcello; Marzi, Claudia; Pirrelli, Vito (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Presentazione tenuta in occasione del \"Franco-Italian Morphology Meeting\", Toulouse, 17-18 novembre 2010. Nell'ambito dell'Accordo bilaterale CNR-CNRS (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Presentazione tenuta in occasione del \"Franco-Italian Morphology Meeting\", Toulouse, 17-18 novembre 2010. Documento powerpoint. 2010. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • ABSTRACT: Words are time-bound signals and are amenable to temporal processing. The human brain has an innate ability to encode serial events into spatial patterns of neural activity (David Beiser & James Houk, 1998). Temporal Hebbian SOMs (THSOMs) allow us to take the two assumptions seriously. They provide a novel computational framework accounting for many paradigm-based generalizations in a natural and insightful way. This claim is validated on inflectional data from German, English and Italian. (literal)
Note
  • PuMa (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#supporto
  • Altro (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di Linguistica Computazionale (literal)
Titolo
  • Word self-organization in time and space?: algorithms and evaluation. (literal)
Abstract
  • ABSTRACT: Words are time-bound signals and are amenable to temporal processing. The human brain has an innate ability to encode serial events into spatial patterns of neural activity (David Beiser & James Houk, 1998). Temporal Hebbian SOMs (THSOMs) allow us to take the two assumptions seriously. They provide a novel computational framework accounting for many paradigm-based generalizations in a natural and insightful way. This claim is validated on inflectional data from German, English and Italian. (literal)
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