http://www.cnr.it/ontology/cnr/individuo/prodotto/ID157477
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
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#supporto
- 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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