Arabic morphology raises a formidable challenge to Markovian computational models of word processing, based on fixed-order memory chaining. Computational models of human short-term and long-term memory can help us considerably to shed light on the issues involved at the level of peripheral word processing (access lexical representations). According to this view, word processing (short-term activation) and lexical representations (entrenchment of habitual activation chains) are two sides of the same coin, as they involve the same levels of brain circuitry on a different time scale. Such an "integrative" view of the lexicon as a dynamic system will be possible only we are able to foster an increasing synergy of perspectives and scientific domains of inquiry: neurosciences, (psycho)linguistics and computing. Conventions of Arabic script are no accident (maliciously intended to trip up computer algorithms)! They rather reflect some fundamental dynamics of the way human brain processes language.

Psycho-computational modelling of lexical access and organisation: what can we learn from Arabic?

Pirrelli;Vito
2014

Abstract

Arabic morphology raises a formidable challenge to Markovian computational models of word processing, based on fixed-order memory chaining. Computational models of human short-term and long-term memory can help us considerably to shed light on the issues involved at the level of peripheral word processing (access lexical representations). According to this view, word processing (short-term activation) and lexical representations (entrenchment of habitual activation chains) are two sides of the same coin, as they involve the same levels of brain circuitry on a different time scale. Such an "integrative" view of the lexicon as a dynamic system will be possible only we are able to foster an increasing synergy of perspectives and scientific domains of inquiry: neurosciences, (psycho)linguistics and computing. Conventions of Arabic script are no accident (maliciously intended to trip up computer algorithms)! They rather reflect some fundamental dynamics of the way human brain processes language.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Pirrelli it
dc.authority.people Vito it
dc.collection.id.s 33fc2b58-b895-438b-9d2a-2c5bc86a83a6 *
dc.collection.name 04.04 Presentazione/Comunicazione non pubblicata 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 18:56:45 -
dc.date.available 2024/02/20 18:56:45 -
dc.date.issued 2014 -
dc.description.abstracteng Arabic morphology raises a formidable challenge to Markovian computational models of word processing, based on fixed-order memory chaining. Computational models of human short-term and long-term memory can help us considerably to shed light on the issues involved at the level of peripheral word processing (access lexical representations). According to this view, word processing (short-term activation) and lexical representations (entrenchment of habitual activation chains) are two sides of the same coin, as they involve the same levels of brain circuitry on a different time scale. Such an "integrative" view of the lexicon as a dynamic system will be possible only we are able to foster an increasing synergy of perspectives and scientific domains of inquiry: neurosciences, (psycho)linguistics and computing. Conventions of Arabic script are no accident (maliciously intended to trip up computer algorithms)! They rather reflect some fundamental dynamics of the way human brain processes language. -
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/20.500.14243/228504 -
dc.language.iso eng -
dc.relation.conferencedate 20-22 ottobre 2014 -
dc.relation.conferencename IEEE CIST'14 - Innovative Systems and Technologies for the Future -
dc.relation.conferenceplace Tetouan, Marocco -
dc.title Psycho-computational modelling of lexical access and organisation: what can we learn from Arabic? en
dc.type.driver info:eu-repo/semantics/conferenceObject -
dc.type.full 04 Contributo in convegno::04.04 Presentazione/Comunicazione non pubblicata in atti di convegno it
dc.type.miur -2.0 -
dc.ugov.descaux1 288013 -
iris.orcid.lastModifiedDate 2024/04/04 16:18:00 *
iris.orcid.lastModifiedMillisecond 1712240280502 *
iris.sitodocente.maxattempts 1 -
Appare nelle tipologie: 04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...)
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