Early activation of category information in visual word recognition: More on the turple effect

Mental Lexicon

Volumn 1, Issue 1, 2006, Pages 35-58

  Forster, Kenneth I ^a  

^a UNIVERSITY OF ARIZONA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 38649088183     PISSN: 18711340     EISSN: 18711375     Source Type: Journal    
DOI: 10.1075/ml.1.1.05for     Document Type: Article

References (36)

1. Andrews, S. (1992). Frequency and neighborhood effects on lexical access: Lexical similarity or orthographic redundancy? Journal of Experimental Psychology: Learning, Memory, & Cognition, 18(2), 234-254.
2. Bock, J. K., Loebell, H., & Morey, R. (1992). From conceptual roles to structural relations: Bridging the syntactic cleft. Psychological Review, 99, 150-171.
3. Burgess, C., & Lund, K. (1997). Modelling parsing constraints with high-dimensional context space. Language and Cognitive Processes, 12, 177-210.
4. Carreiras, M., Perea, M., & Grainger, J. (1997). Effects of the orthographic neighborhood in visual word recognition: Cross-task comparisons. Journal of Experimental Psychology: Learning, Memory, & Cognition, 23(4), 857-871.
5. Charniak, E. (1993). Statistical language learning. Cambridge, MA: MIT Press.
6. Coltheart, M., Davelaar, E., Jonasson, J. T., & Besner, D. (1977). Access to the internal lexicon. In S. Dornic (Ed.), Attention and performance VI (Vol. Erlbaum, pp. 535-555). Hillsdale, NJ.
7. Coltheart, M., Rastle, K., Perry, C., Langdon, R., & Ziegler, J. (2001). DRC: A dual route cascaded model of visual word recognition and reading aloud. Psychological Review, 108(1), 204-256.
8. Comrie, B. (1989). Language universals and linguistic typology, The University of Chicago Press.
9. Fodor, J. A. (1983). The modularity of mind. Cambridge: M.I.T. Press.
10. Forster, K. I. (1976). Accessing the mental lexicon. In R. J. Wales & E. Walker (Eds.), New Approaches to Language Mechanisms (pp. 257-287). Amsterdam: North-Holland.
11. Forster, K. I. (1979). Levels of processing and the structure of the language processor. In W E. Cooper & E. C. T. Walker (Eds.), Sentence Processing: Psycholinguistic essays presented to Merrill Garrett (pp. 27-85). Hillsdale, N.J.: Erlbaum.
12. Forster, K. I. (1989). Basic issues in lexical processing. In W Marslen-Wilson (Ed.), Lexical representation and process, (pp. 75-107). Cambridge, MA: MIT Press.
13. Forster, K. I. (1999). Beyond lexical decision: Lexical access in categorization tasks. Paper presented at the 40th Annual Meeting of the Psychonomic Society, Los Angeles, CA.
14. Forster, K. I. (2004). Category size effects revisited: Frequency and masked priming effects in semantic categorization. Brain & Language, 90(1), 276-286.
15. Forster, K. I., & Forster, J. C. (2003). DMDX: A Windows display program with millisecond accuracy. Behavior Research Methods, Instruments & Computers, 35, 116-124.
16. Forster, K. I., & Hector, J. (2002). Cascaded versus noncascaded models of lexical and semantic processing: The turple effect. Memory & Cognition, 30(7), 1106-1116.
17. Forster, K. I., & Shen, D. (1996). No enemies in the neighborhood: Absence of inhibitory neighborhood effects in lexical decision and semantic categorization. Journal of Experimental Psychology: Learning, Memory, & Cognition, 22(3), 696-713.
18. Gottlob, L. R., Goldinger, S. D., Stone, G. O., & Van Orden, G. C. (1999). Reading homographs: Orthographic, phonologic, and semantic dynamics. Journal of Experimental Psychology: Human Perception & Performance, 25(2), 561-574.
19. Grainger, J., & Jacobs, A. M. (1996). Orthographic processing in visual word recognition: A multiple read-out model. Psychological Review, 103(3), 518-565.
20. Guerrera, C. (2001). Re-examining lexical ambiguity. Unpublished Master’s thesis, Department of Psychology, University of Arizona.
21. 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(6), 938-950.
22. Harm, M. W., & Seidenberg, M. S. (2004). Computing the meanings of words in reading: cooperative division of labor between visual and phonological processes. Psychological Review, 111(3), 662-720.
23. Hino, Y., Lupker, S. J., & Pexman, P. M. (2002). Ambiguity and synonymy effects in lexical decision, naming, and semantic categorization tasks: Interactions between orthography, phonology, and semantics. Journal of Experimental Psychology: Learning, Memory, & Cognition, 28(4), 686-713.
24. Hino, Y., Pexman, P. M. & Lupker, S. J. (2004). Effects of ambiguity and relatedness of meanings in lexical decision and semantic categorization tasks: Is the speed of semantic coding modulated by the nature of orthographic-to-semantic mappings? Manuscript submitted for publication.
25. Kawamoto, A. H. (1993). Nonlinear dynamics in the resolution of lexical ambiguity: A parallel distributed processing account. Journal of Memory & Language, 32(4), 474-516.
26. Landauer, T. K., & Dumais, S. T. (1997). A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104(2), 211-240.
27. McDonald, J. L., Bock, K., & Kelly, M. (1993). Word and world order: semantic, phonological, and metrical determinants of serial position. Cognitive Psychology, 25, 188-230.
28. Monsell, S., Doyle, M. C., & Haggard, P. N. (1989). Effects of frequency on visual word recognition tasks: Where are they? Journal of Experimental Psychology: General, 118(1), 43-71.
29. Morton, J. (1969). Interaction of information in word recognition. Psychological Review, 76, 165-178.
30. Paap, K. R., Newsome, S. L., McDonald, J. E., & Schvaneveldt, R. W. (1982). An activation verification model for letter and word recognition: The word superiority effect. Psychological Review, 89, 573-594.
31. Pecher, D., Zeelenberg, R., & Wagenmakers, E.-J. (2005). Enemies and friends in the neighborhood: Orthographic similarity effects in semantic categorization. Journal of Experimental Psychology: Learning, Memory, & Cognition, 31(1), 121-128
32. Pexman, P. M., Hino, Y., & Lupker, S. J. (2004). Semantic ambiguity and the process of generating meaning from print. Journal of Experimental Psychology: Learning, Memory, & Cognition, 30(6), 1252-1270.
33. Plaut, D. C., McClelland, J. L., Seidenberg, M. S., & Patterson, K. (1996). Understanding normal and impaired word reading: Computational principles in quasi-regular domains. Psychological Review, 103(1), 56-115.
34. Rodd, J. M. (2004). When do leotards get their spots? Semantic activation of lexical neighbors in visual word recognition. Psychonomic Bulletin & Review, 11(3), 434-439.
35. Rohde, D. L. T., Gonnerman, L. M., & Plaut, D. C. (2004). An improved method for deriving word meaning from lexical co-occurrence. Available on the web at http://dlt4.mit.edu/%7Edr/COALS/Coals.pdf.
36. Schütze, H. (1997). Ambiguity resolution in language learning. Computational and cognitive models. Stanford, CA: CSLI Publications.