Characterizing semantic space: Neighborhood effects in word recognition

A specification of the structural characteristics of the mental lexicon is a central goal in word recognition research. Of various word-level characteristics, semantics remains the most resistant to this endeavor. Although there are several theoretically distinct models of lexical semantics with fairly clear operational definitions (e.g., in terms of feature sharing, category membership, associations, or cooccurrences), attempts to empirically adjudicate between these different models have been scarce. In this paper, we present several experiments in which we examined the effects of semantic neighborhood size as defined by two models of lexical semantics—one that defines semantics in terms of associations, and another that defines it in terms of global co-occurrences. We present data that address the question of whether these measures can be fruitfully applied to examinations of lexical activation during visual word recognition. The findings demonstrate that semantic neighborhood can predict performance on both lexical decision and word naming.

[1]  W. Marslen-Wilson.  Functional parallelism in spoken word-recognition , 1987, Cognition.

[2]  D. Bjorklund,et al.  Associative and categorical processes in children's memory: The role of automaticity in the development of organization in free recall ☆ , 1985 .

[3]  David C. Plaut,et al.  Structure and Function in the Lexical System: Insights from Distributed Models of Word Reading and Lexical Decision , 1997 .

[4]  S. Andrews.  The effect of orthographic similarity on lexical retrieval: Resolving neighborhood conflicts , 1997 .

[5]  G. C. Orden,et al.  Pathway selection's utility for control of word recognition. , 1998 .

[6]  W. Marslen-Wilson,et al.  Accessing Different Types of Lexical Semantic Information: Evidence From Priming , 1995 .

[7]  S. Lupker,et al.  Ambiguity and visual word recognition: can feedback explain both homophone and polysemy effects? , 1999, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[8]  D J Madden,et al.  Four to ten milliseconds per year: age-related slowing of visual word identification. , 1992, Journal of gerontology.

[9]  M. Grossman,et al.  Lexical semantic and associative priming in Alzheimer's disease. , 1998, Neuropsychology.

[10]  David C. Plaut,et al.  Semantic and Associative Priming in a Distributed Attractor Network , 1995 .

[11]  Timothy P. McNamara,et al.  Theories of priming. II: Types of primes , 1994 .

[12]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[13]  R. H. Baayen,et al.  The CELEX Lexical Database (CD-ROM) , 1996 .

[14]  James L. McClelland,et al.  The TRACE model of speech perception , 1986, Cognitive Psychology.

[15]  Jo-Anne LeFevre,et al.  Polysemy effects in word naming. , 1999 .

[16]  M. Masson.  A distributed memory model of semantic priming. , 1995 .

[17]  K. McRae,et al.  Automatic semantic similarity priming. , 1998 .

[18]  Ron Borowsky,et al.  SEMANTIC AMBIGUITY EFFECTS IN WORD IDENTIFICATION , 1996 .

[19]  C. Burgess,et al.  Phonological and semantic information in word and nonword reading in a deep dyslexic patient. , 2000, Brain and cognition.

[20]  D L Nelson,et al.  One step is not enough: Making better use of association norms to predict cued recall , 1997, Memory & cognition.

[21]  B. Ackerman.  Differences in the associative constraint on retrieval search from a context cue for children and adults , 1986 .

[22]  Curt Burgess,et al.  The Dynamics of Meaning in Memory , 1998 .

[23]  T. Landauer,et al.  A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge. , 1997 .

[24]  Yasushi Hino,et al.  Neighborhood Size and Neighborhood Frequency Effects in Word Recognition , 1995 .

[25]  M. Sommers,et al.  Inhibitory processes and spoken word recognition in young and older adults: the interaction of lexical competition and semantic context. , 1999, Psychology and aging.

[26]  Douglas L. Nelson,et al.  Interpreting the influence of implicitly activated memories on recall and recognition. , 1998 .

[27]  Curt Burgess,et al.  Producing high-dimensional semantic spaces from lexical co-occurrence , 1996 .

[28]  G. Stone,et al.  Perception Is a Two-Way Street: Feedforward and Feedback Phonology in Visual Word Recognition ☆ , 1997 .

[29]  J. Myerson,et al.  General lexical slowing and the semantic priming effect: the roles of age and ability. , 1997, Acta psychologica.

[30]  J Grainger,et al.  Orthographic processing in visual word recognition: a multiple read-out model. , 1996, Psychological review.

[31]  Michael Wilson,et al.  MRC psycholinguistic database: Machine-usable dictionary, version 2.00 , 1988 .

[32]  B. Reed,et al.  Assessment of associative relations in alzheimer's disease: Evidence for preservation of semantic memory , 1995 .

[33]  Gerry Altmann,et al.  Cognitive Models of Speech Processing: Psycholinguistic and Computational Perspectives - Workshop Overview , 1989, AI Mag..

[34]  David B. Pisoni,et al.  Similarity neighborhoods of spoken words , 1991 .

[35]  G. Simpson.  Lexical ambiguity and its role in models of word recognition. , 1984, Psychological bulletin.

[36]  Yasushi Hino,et al.  Effects of Polysemy in Lexical Decision and Naming: An Alternative to Lexical Access Accounts , 1996 .

[37]  Sally Andrews,et al.  Frequency and neighborhood effects on lexical access: Lexical similarity or orthographic redundancy? , 1992 .

[38]  Ronald Peereman,et al.  Neighborhood size effect in naming: Lexical activation or sublexical correspondences? , 1995 .

[39]  S. D. Lima,et al.  General slowing in semantic priming and word recognition. , 1992, Psychology and aging.

[40]  T. Shallice,et al.  Deep Dyslexia: A Case Study of , 1993 .

[41]  Douglas L. Nelson,et al.  Concept Accessibility as the Determinant of Typicality Judgments , 1999 .

[42]  N. Brown,et al.  False Memories and Semantic Lexicon Arrangement , 1999, Brain and Language.

[43]  James L. McClelland,et al.  Mechanisms of Sentence Processing: Assigning Roles to Constituents of Sentences , 1986 .