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Istituto di linguistica computazionale "Antonio Zampolli"

Torna all'elenco Contributi in volume anno 2020

Contributo in volume

Tipo: Contributo in volume

Titolo: Psycho-computational modelling of the mental lexicon

Anno di pubblicazione: 2020

Formato: Elettronico

: Capitolo

Autori: Pirrelli, Vito; Marzi, Claudia; Ferro, Marcello; Cardillo, Franco Alberto; Baayen, Harald R.; Milin, Petar

Affiliazioni autori: Institute for Computational Linguistics, Italian National Research Council. Eberhard Karls University, Tubingen, Germany. University of Birmingham, UK.

Autori CNR:

  • FRANCO ALBERTO CARDILLO
  • MARCELLO FERRO
  • CLAUDIA MARZI
  • VITO PIRRELLI

Lingua: inglese

Sintesi: Over the last decades, a growing body of evidence on the mechanisms governing lexical storage, access, acquisition and processing has questioned traditional models of language architecture and word usage based on the hypothesis of a direct correspondence between modular components of grammar competence (lexicon vs. rules), processing correlates (memory vs. computation) and neuro-anatomical localizations (prefrontal vs. temporo-parietal perisylvian areas of the left hemisphere). In the present chapter, we explore the empirical and theoretical consequences of a distributed, integrative model of the mental lexicon, whereby words are seen as emergent properties of the functional interaction between basic, language-independent processing principles and the language- specific nature and organization of the input. From this perspective, language learning appears to be inextricably related to the way language is processed and internalized by the speakers, and key to an interdisciplinary understanding of such a way, in line with Tomaso Poggio's suggestion that the development of a cognitive skill is causally and ontogenetically prior to its execution (and sits "on top of it"). In particular, we discuss conditions, potential and prospects of the epistemological continuity between psycholinguistic and computational modelling of word learning, and illustrate the yet largely untapped potential of their integration. We use David Marr's hierarchy to clarify the complementarity of the two viewpoints. Psycholinguistic models are informative about how speakers learn to use language (interfacing Marr's levels 1 and 2). When we move from the psycholinguistic analysis of the functional operations involved in language learning to an algorithmic description of how they are computed, computer simulations can help us explore the relation between speakers' behavior and general learning principles in more detail. In the end, psycho-computational models can be instrumental to bridge Marr's levels 2 and 3, bringing us closer to understanding the nature of word knowledge in the brain.

Lingua sintesi: eng

Pagine da: 23

Pagine a: 82

Pagine totali: 60

Collana:

Trends in linguistics. Studies and monographs Mouton de Gruyter.
Paese di pubblicazione: Germania
Lingua: inglese
ISSN: 1861-4302

Titolo del volume: Word Knowledge and Word Usage

N. volume della serie/collana: 337

Curatore/i del volume: Vito Pirrelli, Ingo Plag and Wolfgang U. Dressler

ISBN: 9783110440577

DOI: 10.1515/9783110440577-002

Editore: De Gruyter Saur, Berlin/Munich (DEU)

Referee: Sė: Internazionale

Stato della pubblicazione: Published version

Parole chiave:

  • mental lexicon
  • word storage and processing
  • psycholinguistics
  • computational linguistics
  • connectionist models
  • discriminative learning

URL: https://www.degruyter.com/view/book/9783110440577/10.1515/9783110440577-002.xml

Strutture CNR:

Allegati: Psycho-computational modelling of the mental lexicon (application/pdf)
Published_version

 
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