Contributo in atti di convegno, 2011, ENG
Ferro, Marcello; Marzi, Claudia; Pirrelli, Vito
Institute for Computational Linguistics - National Research Council (CNR-ILC, Pisa)
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.
First International Workshop on Lexical Resources, pp. 32–41, Ljubljana Slovenia, 1-5 Agosto 2011
Mental Lexicon, Self-organizing Maps, Morphology
Pirrelli Vito, Marzi Claudia, Ferro Marcello
ILC – Istituto di linguistica computazionale "Antonio Zampolli"
ID: 205490
Year: 2011
Type: Contributo in atti di convegno
Creation: 2013-02-25 16:15:59.000
Last update: 2014-11-24 15:13:30.000
CNR authors
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
URL: http://alpage.inria.fr/~sagot/woler2011/WoLeR2011/Program_%26_Proceedings.html
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:205490
PUMA: cnr.ilc/2011-A2-005