Literature DB >> 21380585

Observing neighborhood effects without neighbors.

Lidia Suárez1, Seok Hui Tan, Melvin J Yap, Winston D Goh.   

Abstract

With a new metric called phonological Levenshtein distance (PLD20), the present study explores the effects of phonological similarity and word frequency on spoken word recognition, using polysyllabic words that have neither phonological nor orthographic neighbors, as defined by neighborhood density (the N-metric). Inhibitory effects of PLD20 were observed for these lexical hermits: Close-PLD20 words were recognized more slowly than distant PLD20 words, indicating lexical competition. Importantly, these inhibitory effects were found only for low- (not high-) frequency words, in line with previous findings that phonetically related primes inhibit recognition of low-frequency words. These results indicate that the properties of PLD20--a continuous measure of word-form similarity--make it a promising new metric for quantifying phonological distinctiveness in spoken word recognition research.

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Year:  2011        PMID: 21380585     DOI: 10.3758/s13423-011-0078-9

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  14 in total

1.  Phonetic priming, neighborhood activation, and PARSYN.

Authors:  P A Luce; S D Goldinger; E T Auer; M S Vitevitch
Journal:  Percept Psychophys       Date:  2000-04

2.  Form-based priming in spoken word recognition: the roles of competition and bias.

Authors:  S D Goldinger; P A Luce; D B Pisoni; J K Marcario
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1992-11       Impact factor: 3.051

3.  Word length and lexical competition: longer is the same as shorter.

Authors:  Michael S Vitevitch; Melissa K Stamer; Joan A Sereno
Journal:  Lang Speech       Date:  2008       Impact factor: 1.500

4.  Moving beyond Coltheart's N: a new measure of orthographic similarity.

Authors:  Tal Yarkoni; David Balota; Melvin Yap
Journal:  Psychon Bull Rev       Date:  2008-10

5.  What can graph theory tell us about word learning and lexical retrieval?

Authors:  Michael S Vitevitch
Journal:  J Speech Lang Hear Res       Date:  2008-04       Impact factor: 2.297

6.  Distributional analyses in auditory lexical decision: neighborhood density and word-frequency effects.

Authors:  Winston D Goh; Lidia Suárez; Melvin J Yap; Seok Hui Tan
Journal:  Psychon Bull Rev       Date:  2009-10

7.  Priming Lexical Neighbors of Spoken Words: Effects of Competition and Inhibition.

Authors:  Stephen D Goldinger; Paul A Luce; David B Pisoni
Journal:  J Mem Lang       Date:  1989-10-01       Impact factor: 3.059

8.  Recognizing spoken words: the neighborhood activation model.

Authors:  P A Luce; D B Pisoni
Journal:  Ear Hear       Date:  1998-02       Impact factor: 3.570

9.  The influence of the phonological neighborhood clustering coefficient on spoken word recognition.

Authors:  Kit Ying Chan; Michael S Vitevitch
Journal:  J Exp Psychol Hum Percept Perform       Date:  2009-12       Impact factor: 3.332

10.  The English Lexicon Project.

Authors:  David A Balota; Melvin J Yap; Michael J Cortese; Keith A Hutchison; Brett Kessler; Bjorn Loftis; James H Neely; Douglas L Nelson; Greg B Simpson; Rebecca Treiman
Journal:  Behav Res Methods       Date:  2007-08
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  4 in total

1.  Recognition memory for foreign language lexical stress.

Authors:  Lidia Suárez; Winston D Goh
Journal:  Mem Cognit       Date:  2013-08

2.  The influence of 2-hop network density on spoken word recognition.

Authors:  Cynthia S Q Siew
Journal:  Psychon Bull Rev       Date:  2017-04

Review 3.  Using network science in the language sciences and clinic.

Authors:  Michael S Vitevitch; Nichol Castro
Journal:  Int J Speech Lang Pathol       Date:  2014-12-24       Impact factor: 2.484

4.  Semantic Richness Effects in Spoken Word Recognition: A Lexical Decision and Semantic Categorization Megastudy.

Authors:  Winston D Goh; Melvin J Yap; Mabel C Lau; Melvin M R Ng; Luuan-Chin Tan
Journal:  Front Psychol       Date:  2016-06-28
  4 in total

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