Pre-compilation of memory "chunks" in the mental lexicon is beneficial for on-line processing because it enhances the capacity to predict the completion of an upcoming input word and to maintain longer and more complex word sequences in the STM store: the more we memorize, the less material we need to integrate on-line. Morpheme-based representations are like memory chunks that come into the picture when memory of whole words fails, due to either novel, degenerate and noisy input, or to limitations in perception/memory spans. Due to the combinatorial nature of language and our memory limitations, less "chunking" and more on-line integration is expected at processing levels beyond morphology.

Computational Complexity in Neurally-inspired Morphology processing

Pirrelli;Vito
2012

Abstract

Pre-compilation of memory "chunks" in the mental lexicon is beneficial for on-line processing because it enhances the capacity to predict the completion of an upcoming input word and to maintain longer and more complex word sequences in the STM store: the more we memorize, the less material we need to integrate on-line. Morpheme-based representations are like memory chunks that come into the picture when memory of whole words fails, due to either novel, degenerate and noisy input, or to limitations in perception/memory spans. Due to the combinatorial nature of language and our memory limitations, less "chunking" and more on-line integration is expected at processing levels beyond morphology.
Campo DC Valore Lingua
dc.authority.people Pirrelli it
dc.authority.people Vito it
dc.collection.id.s 69aaa6b3-f0f0-47c1-b9a1-040bae867ec3 *
dc.collection.name 04.02 Abstract in Atti di convegno *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/20 19:44:46 -
dc.date.available 2024/02/20 19:44:46 -
dc.date.issued 2012 -
dc.description.abstract Pre-compilation of memory "chunks" in the mental lexicon is beneficial for on-line processing because it enhances the capacity to predict the completion of an upcoming input word and to maintain longer and more complex word sequences in the STM store: the more we memorize, the less material we need to integrate on-line. Morpheme-based representations are like memory chunks that come into the picture when memory of whole words fails, due to either novel, degenerate and noisy input, or to limitations in perception/memory spans. Due to the combinatorial nature of language and our memory limitations, less "chunking" and more on-line integration is expected at processing levels beyond morphology. -
dc.description.affiliations ILC-CNR, Pisa -
dc.description.allpeople Pirrelli, Vito; Pirrelli, Vito -
dc.description.allpeopleoriginal Pirrelli, Vito -
dc.description.fulltext none en
dc.description.numberofauthors 2 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/228577 -
dc.language.iso eng -
dc.relation.conferencedate 13-14 January 2012 -
dc.relation.conferencename International Workshop on Morphological Complexity -
dc.relation.conferenceplace British Academy, London, UK -
dc.subject.keywords Morphological Complexity -
dc.subject.keywords Morphological Paradigms -
dc.subject.keywords Artificial Neural NetWorks -
dc.subject.keywords Word Processing -
dc.subject.singlekeyword Morphological Complexity *
dc.subject.singlekeyword Morphological Paradigms *
dc.subject.singlekeyword Artificial Neural NetWorks *
dc.subject.singlekeyword Word Processing *
dc.title Computational Complexity in Neurally-inspired Morphology processing en
dc.type.driver info:eu-repo/semantics/conferenceObject -
dc.type.full 04 Contributo in convegno::04.02 Abstract in Atti di convegno it
dc.type.miur 274 -
dc.ugov.descaux1 288089 -
iris.orcid.lastModifiedDate 2024/04/04 17:38:26 *
iris.orcid.lastModifiedMillisecond 1712245106534 *
iris.sitodocente.maxattempts 3 -
Appare nelle tipologie: 04.02 Abstract in Atti di convegno
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/228577
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact