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Istituto di linguistica computazionale "Antonio Zampolli"

Torna all'elenco Contributi in rivista anno 2018

Contributo in rivista

Tipo: Articolo in rivista

Titolo: Discriminative word learning is sensitive to inflectional entropy

Anno di pubblicazione: 2018

Formato: Cartaceo

Autori: Ferro, M; Marzi, C; Pirrelli, V.

Affiliazioni autori: Istituto di Linguistica Computazionale - CNR

Autori CNR:

  • MARCELLO FERRO
  • CLAUDIA MARZI
  • VITO PIRRELLI

Lingua: inglese

Abstract: Psycholinguistic evidence based on inflectional and derivational word families has emphasised the combined role of Paradigm Entropy and Inflectional Entropy in human word processing. Although the way frequency distributions affect behavioural evidence is clear in broad outline, we still miss a clear algorithmic model of how such a complex interaction takes place and why. The main challenge is to understand how the local interaction of learning and processing principles in morphology can result in global effects that require knowledge of the overall distribution of stems and affixes in word families. We show that principles of discriminative learning can shed light on this issue. We simulate learning of verb inflection with a discriminative recurrent network of specialised processing units, whose level of temporal connectivity reflects the frequency distribution of input symbols in context. We analyse the temporal dynamic with which connection weights are adjusted during discriminative learning, to show that self-organised connections are optimally functional to word processing when the distribution of inflected forms in a paradigm (Paradigm Entropy) and the distribution of their inflectional affixes across paradigms (Inflectional Entropy) diverge minimally.

Lingua abstract: inglese

Pagine da: 307

Pagine a: 327

Pagine totali: 21

Rivista:

Lingue e linguaggio Il Mulino.
Paese di pubblicazione: Italia
Lingua: italiano
ISSN: 1720-9331

Numero volume: XVII

Numero fascicolo: 2

DOI: 10.1418/91871

Referee: Sė: Internazionale

Stato della pubblicazione: Published version

Indicizzato da: ISI Web of Science (WOS) [000453886800010]

Parole chiave:

  • discriminative learning
  • word processing
  • recurrent neural networks
  • relative entropy

URL: https://www.rivisteweb.it/doi/10.1418/91871

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