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.
2014
Istituto di linguistica computazionale "Antonio Zampolli" - ILC
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/228504
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