T2HSOM: Understanding the Lexicon by Simulating Memory Processes for Serial Order (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• T2HSOM: Understanding the Lexicon by Simulating Memory Processes for Serial Order (Contributo in atti di convegno) (literal)

Anno

• 2011-01-01T00:00:00+01:00 (literal)

Alternative label

• Ferro, Marcello; Marzi, Claudia; Pirrelli, Vito (2011)
  T2HSOM: Understanding the Lexicon by Simulating Memory Processes for Serial Order
  in First International Workshop on Lexical Resources, Ljubljana Slovenia, 1-5 Agosto 2011
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Ferro, Marcello; Marzi, Claudia; Pirrelli, Vito (literal)

Pagina inizio

• 32 (literal)

Pagina fine

• 41 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni

• ID_PUMA: cnr.ilc/2011-A2-005 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://alpage.inria.fr/~sagot/woler2011/WoLeR2011/Program_%26_Proceedings.html (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• First International Workshop on Lexical Resources (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 10 (literal)

Note

• PuMa (literal)
• Google Scholar (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Institute for Computational Linguistics - National Research Council (CNR-ILC, Pisa) (literal)

Titolo

• T2HSOM: Understanding the Lexicon by Simulating Memory Processes for Serial Order (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume

• Benoît Sagot (literal)

Abstract

• Over the last several years, both theoretical and empirical approaches to lexical knowledge and encoding have prompted a radical reappraisal of the traditional dichotomy between lexicon and grammar. The lexicon is not simply a large waste basket of exceptions and sub-regularities, but a dynamic, possibly redundant repository of linguistic knowledge whose principles of relational organization are the driving force of productive generalizations. In this paper, we overview a few models of dynamic lexical organization based on neural network architectures that are purported to meet this challenging view. In particular, we illustrate a novel family of Kohonen self-organizing maps (T2HSOMs) that have the potential of simulating competitive storage of symbolic time series while exhibiting interesting properties of morphological organization and generalization. The model, tested on training samples of as morphologically diverse languages as Italian, German and Arabic, shows sensitivity to manifold types of morphological structure and can be used to bootstrap morphological knowledge in an unsupervised way. (literal)

Prodotto di

• Architetture bio-computazionali del lessico mentale (IC.P02.004.002) (Modulo)
• Institute of computational linguistics \"Antonio Zampolli\" (ILC) (Istituto)
• Modelli teorici e computazionali di acquisizione lessicale in contesti mono- e multi-lingui (IC.P02.004.003) (Modulo)

Autore CNR

• VITO PIRRELLI (Unità di personale interno)
• CLAUDIA MARZI (Persona)
• MARCELLO FERRO (Unità di personale interno)

Insieme di parole chiave

• Keywords of "T2HSOM: Understanding the Lexicon by Simulating Memory Processes for Serial Order" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• CLAUDIA MARZI (Persona)
• VITO PIRRELLI (Unità di personale interno)
• MARCELLO FERRO (Unità di personale interno)

Prodotto

• Institute of computational linguistics \"Antonio Zampolli\" (ILC) (Istituto)
• Architetture bio-computazionali del lessico mentale (IC.P02.004.002) (Modulo)
• Modelli teorici e computazionali di acquisizione lessicale in contesti mono- e multi-lingui (IC.P02.004.003) (Modulo)

Insieme di parole chiave di

• Keywords of "T2HSOM: Understanding the Lexicon by Simulating Memory Processes for Serial Order" (Insieme di parole chiave)