Please use this identifier to cite or link to this item: http://hdl.handle.net/10216/100301
Author(s): Tânia Fernandes
R. Kolinsky
P. Ventura
Title: The metamorphosis of the statistical segmentation output: Lexicalization during artificial language learning
Issue Date: 2009
Abstract: This study combined artificial language learning (ALL) with conventional experimental techniques to test whether statistical speech segmentation outputs are integrated into adult listeners' mental lexicon. Lexicalization was assessed through inhibitory effects of novel neighbors (created by the parsing process) on auditory lexical decisions to real words. Both immediately after familiarization and post-one week, ALL outputs were lexicalized only when the cues available during familiarization (transitional probabilities and wordlikeness) suggested the same parsing (Experiments 1 and 3). No lexicalization effect occurred with incongruent cues (Experiments 2 and 4). Yet, ALL differed from chance, suggesting a dissociation between item knowledge and lexicalization. Similarly contrasted results were found when frequency of occurrence of the stimuli was equated during familiarization (Experiments 3 and 4). Our findings thus indicate that ALL outputs may be lexicalized as far as the segmentation cues are congruent, and that this process cannot be accounted for by raw frequency. (C) 2009 Elsevier B.V. All rights reserved.
Subject: Psicologia
Psychology
Call Number: 85277
URI: http://hdl.handle.net/10216/100301
Document Type: Artigo em Revista Científica Internacional
Rights: restrictedAccess
Appears in Collections:FPCEUP - Artigo em Revista Científica Internacional

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