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NoA’s ark: Influence of the number of associates in visual word recognition

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Abstract

The main aim of this study was to explore the extent to which the number of associates of a word (NoA) influences lexical access, in four tasks that focus on different processes of visual word recognition: lexical decision, reading aloud, progressive demasking, and online sentence reading. Results consistently showed that words with a dense associative neighborhood (high-NoA words) were processed faster than words with a sparse neighborhood (low-NoA words), extending previous findings from English lexical decision and categorization experiments. These results are interpreted in terms of the higher degree of semantic richness of high-NoA words as compared with low-NoA words. 2008 Psychonomic Society, Inc. Author Note

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References

  • Balota, D. A., Cortese, M. J., Hutchison, K.A., Neely, J. H., Nelson, D., Simpson, G. B., & Treiman, R. (2002). The English Lexicon Project: A Web-based repository of descriptive and behavioral measures for 40,481 English words and nonwords. Retrieved January 8, 2008, from elexicon.wustl.edu/.

  • Balota, D. A., Cortese, M. J., Sergent-Marshall, S. D., Spieler, D. H., & Yap, M. J. (2004). Visual word recognition for single syllable words. Journal of Experimental Psychology: General, 133, 283–316.

    Article  Google Scholar 

  • Buchanan, L., Westbury, C., & Burgess, C. (2001). Characterizing semantic space: Neighborhood effects in word recognition. Psychonomic Bulletin & Review, 8, 531–544.

    Article  Google Scholar 

  • Carreiras, M., Perea, M., & Grainger, J., (1997). Effects of orthographic neighborhood in visual word recognition: Cross-task comparisons. Journal of Experimental Psychology: Learning, Memory, & Cognition, 23, 857–871.

    Google Scholar 

  • Collins, A. M., & Loftus, E. F. (1975). A spreading activation theory of semantic processing. Psychological Review, 82, 407–428.

    Article  Google Scholar 

  • Cortese, M. J., & Khanna, M. M. (2007). Age of acquisition predicts naming and lexical decision performance above and beyond 22 other predictor variables: An analysis of 2,340 words. Quarterly Journal of Experimental Psychology, 60, 1072–1082.

    Article  Google Scholar 

  • Dufau, S., Stevens, M., & Grainger, J. (2008). Windows executable software for the progressive demasking task. Behavior Research Methods, 40, 33–37.

    Article  PubMed  Google Scholar 

  • Fernández, A., Díez, E., Alonso, M. A., & Beato, M. S. (2004). Free-association norms for the Spanish names of the Snodgrass and Vanderwart pictures. Behavior Research Methods, Instruments, & Computers, 36, 577–583.

    Article  Google Scholar 

  • Forster, K. I., & Forster, J. C. (2003). DMDX: A Windows display program with millisecond accuracy. Behavior Research Methods, Instruments, & Computers, 35, 116–124.

    Article  Google Scholar 

  • Hino, Y., & Lupker, S. J. (1996). Effects of polysemy in lexical decision and naming: An alternative to lexical access accounts. Journal of Experimental Psychology: Human Perception & Performance, 22, 1331–1356.

    Google Scholar 

  • Holcomb, P. J., Grainger, J., & O’Rourke, T. (2002). An electrophysiological study of the effects of orthographic neighborhood size on printed word perception. Journal of Cognitive Neuroscience, 14, 938–950.

    Article  PubMed  Google Scholar 

  • Hyönä, J., & Olson, R. K. (1995). Eye fixation patterns among dyslexic and normal readers: Effects of word length and word frequency. Journal of Experimental Psychology: Learning, Memory, & Cognition, 21, 1430–1440.

    Google Scholar 

  • Inhoff, A. W., & Rayner, K. (1986). Parafoveal word processing during eye fixations in reading: Effects of word frequency. Perception & Psychophysics, 40, 431–439.

    Article  Google Scholar 

  • Locker, L., Simpson, G., & Yates, M. (2003). Semantic neighborhood effects on the recognition of ambiguous words. Memory & Cognition, 31, 505–515.

    Article  Google Scholar 

  • Mirman, D., & Magnuson, J. S. (2008). Attractor dynamics and semantic neighborhood density: Processing is slowed by near neighbors and speeded by distant neighbors. Journal of Experimental Psychology: Learning, Memory, & Cognition, 34, 65–79.

    Google Scholar 

  • Nelson, D. L., McEvoy, C. L., & Schreiber, T. A. (1998). The University of South Florida word association, rhyme, and word fragment norms. Retrieved January 8, 2008, from www.usf.edu/ FreeAssociation.

  • Nelson, D. L., McKinney, V. M., Gee, N. R., & Janczura, G. A. (1998). Interpreting the influence of implicitly activated memories on recall and recognition. Psychological Review, 105, 299–324.

    Article  PubMed  Google Scholar 

  • Nelson, D. L., McKinney, V. M., & McEvoy, C. L. (2003). Are implicitly activated associates selectively activated? Psychonomic Bulletin & Review, 10, 118–124.

    Article  Google Scholar 

  • Pexman, P. M., Hargreaves, I. S., Edwards, J. D., Henry, L. C., & Goodyear, B. G. (2007). The neural consequences of semantic richness. When more comes to mind, less activation is observed. Psychological Science, 18, 401–406.

    Article  PubMed  Google Scholar 

  • Pexman, P. M., Hargreaves, I. S., Siakaluk, P. D., Bodner, G. E., & Pope, J. (2008). There are many ways to be rich: Effects of three measures of semantic richness on visual word recognition. Psychonomic Bulletin & Review, 15, 161–167.

    Article  Google Scholar 

  • Pexman, P. M., & Lupker, S. J. (1999). The impact of semantic ambiguity on visual word recognition: Do homophone and polysemy effects co-occur? Canadian Journal of Experimental Psychology, 53, 323–334.

    Article  PubMed  Google Scholar 

  • Plaut, D. C. (1997). Structure and function in the lexical system: Insights from distributed models of naming and lexical decision. Language & Cognitive Processes, 12, 767–808.

    Article  Google Scholar 

  • Plaut, D. C., & Booth, J. R. (2000). Individual and developmental differences in semantic priming: Empirical and computational support for a single-mechanism account of lexical processing. Psychological Review, 107, 786–823.

    Article  PubMed  Google Scholar 

  • Plaut, D. C., & Shallice, T. (1993). Deep dyslexia: A case study of connectionist neuropsychology. Cognitive Neuropsychology, 10, 377–500.

    Article  Google Scholar 

  • Protopapas, A. (2007). CheckVocal: A program to facilitate checking the accuracy and response time of vocal responses from DMDX. Behavior Research Methods, 39, 859–862.

    Article  PubMed  Google Scholar 

  • Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124, 372–422.

    Article  PubMed  Google Scholar 

  • Reimer, J. F., Lorsbach, T. C., & Bleakney, D. M. (2008). Automatic semantic feedback during visual word recognition. Memory & Cognition, 36, 641–658.

    Article  Google Scholar 

  • Seidenberg, M. S., & McClelland, J. L. (1989). A distributed, developmental model of word recognition and naming. Psychological Review, 96, 523–568.

    Article  PubMed  Google Scholar 

  • Yates, M., Locker, L., & Simpson, G. (2003). Semantic and phonological influences on the processing of words and pseudohomophones. Memory & Cognition, 31, 856–866.

    Article  Google Scholar 

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Correspondence to Jon Andoni Duñabeitia.

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This research was supported by Grants SEJ2006-09238/PSIC and Consolider-Ingenio 2010 CSD-2008-00048 from the Spanish government and by Grant BFI05.310 from the Basque government. The authors thank M. Gillon-Dowens, O. Müller, A. Hantsch, and M. Dimitropoulou for helpful comments on the manuscript.

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Duñabeitia, J.A., Avilés, A. & Carreiras, M. NoA’s ark: Influence of the number of associates in visual word recognition. Psychonomic Bulletin & Review 15, 1072–1077 (2008). https://doi.org/10.3758/PBR.15.6.1072

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  • DOI: https://doi.org/10.3758/PBR.15.6.1072

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