The metamorphosis of the statistical segmentation output: Lexicalization during artificial language learning

• Type: Article in International Scientific Journal
• Date: 2009

Authors

Tânia Fernandes (Author) FPCEUP; R. Kolinsky (Author) Other; P. Ventura (Author) Other

Journal

Title: Cognition

Vol. 112 No. 3

Pages: 349-366

ISSN: 0010-0277

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 7 Citations

ISI Web of Science

Scopus - 9 Citations

Scientific classification

FOS: Social sciences > Psychology

Other information

Authenticus ID: P-003-FZH

DOI: 10.1016/j.cognition.2009.05.002

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

Notes: <a href="http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord&KeyUT=000285312200001">Acesso à Web of Science</a>

No. of pages: 18