ABSTRACT: Words are time-bound signals and are amenable to temporal processing. The human brain has an innate ability to encode serial events into spatial patterns of neural activity (David Beiser & James Houk, 1998). Temporal Hebbian SOMs (THSOMs) allow us to take the two assumptions seriously. They provide a novel computational framework accounting for many paradigm-based generalizations in a natural and insightful way. This claim is validated on inflectional data from German, English and Italian.

Word self-organization in time and space?: algorithms and evaluation.

Ferro Marcello
Primo
;
Marzi Claudia
Secondo
;
Pirrelli Vito
Ultimo
2010

Abstract

ABSTRACT: Words are time-bound signals and are amenable to temporal processing. The human brain has an innate ability to encode serial events into spatial patterns of neural activity (David Beiser & James Houk, 1998). Temporal Hebbian SOMs (THSOMs) allow us to take the two assumptions seriously. They provide a novel computational framework accounting for many paradigm-based generalizations in a natural and insightful way. This claim is validated on inflectional data from German, English and Italian.
2010
Istituto di linguistica computazionale "Antonio Zampolli" - ILC
Morphology
Word Processing and Learning
Mental Lexicon
L1
SOMs
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/183239
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