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Methods of testing and diagnosing model error : dual and single route cascaded models of reading aloud

By James S. Adelman and G. D. A. (Gordon D. A.) Brown


Models of visual word recognition have been assessed by both factorial and regression approaches. Factorial approaches tend to provide a relatively weak test of models, and regression approaches give little indication of the sources of models’ mispredictions, especially when parameters are not optimal. A new alternative method, involving regression on model error, combines these two approaches with parameter optimization. The method is illustrated with respect to the dual route cascaded model of reading aloud. In contrast to previous investigations, this method provides clear evidence that there are parameter-independent problems with the model, and identifies two specific sources of misprediction made by model.\ud \u

Topics: BF
Publisher: Academic Press
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  1. (1989). A distributed, developmental model of word recognition and naming. doi
  2. (1994). A quantitative multiple-levels model of reading aloud. doi
  3. (1977). Access to the internal lexicon. doi
  4. (1981). An interactive activation model of context effects in letter perception: Part 1. An account of basic findings. doi
  5. (1999). Basic processes in reading: Multiple routines in localist and connectionist models.
  6. (1997). Bringing computational models of word naming down to the item level. doi
  7. (1987). Conspiracy effects in word pronunciation. doi
  8. (1986). Constraining models of word recognition. doi
  9. (2006). Contextual diversity, not word frequency, determines word-naming and lexical decision times. doi
  10. (2001). Derek Besner and an anonymous reviewer for constructive reviews, and Maura Sabatos-DeVito for comments on the manuscript.Analyzing model error in the DRC 48 Footnotes 1According to Coltheart
  11. (1997). Differential effects of number of letters on word and nonword naming latency. doi
  12. (1989). Frequency and neighborhood effects on lexical access: Activation or search? doi
  13. (1992). Frequency and neighborhood effects on lexical access: Lexical similarity or orthographic redundancy? doi
  14. (1987). Frequency and pronounceability in visually presented naming and lexical decision tasks. In
  15. (2001). Identical words are read differently in different languages. doi
  16. (2006). Is there a neighborhood frequency effect in english? evidence from reading and lexical decision. Journal ofAnalyzing model error in the DRC 45 Experimental Psychology: Human Perception and Performance, doi
  17. (1999). Item-level analysis of lexical decision: Results from a mega-study.
  18. (1985). Lexical access and frequency sensitivity: Frequency saturation and open/closed class equivalence. doi
  19. (1981). Making up materials is a confounded nuisance, or: Will we be able to run any psycholinguistic experiments at all in doi
  20. (1999). Modeling lexical decision and word naming as a retrieval process. doi
  21. (1993). Models of reading aloud: Dual-route and parallel-distributed-processing approaches. doi
  22. (2006). Neighborhood effects in reading aloud: New findings and new challenges for computational models. doi
  23. (1995). Neighborhood size effect in naming: Lexical activation or sublexical correspondences? doi
  24. (2002). Neighbourhood density effects in reading aloud: New insights from simulations with the DRC model. doi
  25. (2004). Neighbourhood density, word frequency, and spelling-sound regularity effects in naming: Similarities and differences between skilled readers and the dual route cascaded computational model. doi
  26. (2007). Nested incremental modeling in theAnalyzing model error in the DRC 44 development of computational theories: The CDP+ model of reading aloud. doi
  27. (1990). On the association between connectionism and data: Are a few words necessary? doi
  28. (1997). Orthographic and phonological neighborhoods in naming: Not all neighbors are equally influential in orthographic space. doi
  29. (2002). Orthographic neighborhood effects in lexical decision: The effects of nonword orthographic neighborhood size. doi
  30. (1996). Orthographic processing in visual word recognition: A multiple read-out model. doi
  31. (2006). Orthographic structure versus morphological structure: Principles of lexical organization in a given language. doi
  32. (2007). Phonographic neighbors, not orthographic neighbors, determine word naming latencies. doi
  33. (1999). Phonology, reading acquisition, and dyslexia: Insights from connectionist models. doi
  34. (2006). Postscript: Plaut and Booth’s doi
  35. (1986). Race models and analogy theories: A dead heat? Reply to Seidenberg. doi
  36. (2005). Regularity and length effects in word naming: A test of the dual route cascaded model. In
  37. (2001). Rethinking the word frequency effect: The neglected role of distributional information in lexical processing. doi
  38. (1998). Rule and analogy mechanisms in reading nonwords: Hough dou peapel rede gnew wirds? doi
  39. (1999). Serial and strategic effects in reading aloud. doi
  40. (1994). Serial processing in reading aloud: Evidence for dual-route models of reading. Journal of Experimental Psychology: Human Perception and Performance, 20, 1197–1211.Analyzing model error in doi
  41. (2000). Serial processing in reading aloud: Reply to Zorzi doi
  42. (2006). Simulating consistency effects and individual differences in nonword naming: A comparison of current models. doi
  43. (1997). Spelling-sound consistency affects the naming of high frequency words. doi
  44. (2002). Spelling-sound consistency and regularity effects in word naming. doi
  45. (2005). Spelling-sound typicality only affects words with digraphs: Further qualifications to the generality of the regularity effect on word naming. doi
  46. (1969). The discovery of processing stages: doi
  47. (1979). The organization and activation of orthographic knowledge in reading aloud. doi
  48. (2002). The power law repealed: The case for an exponential law of practice. doi
  49. (1974). The process of recognizing tachistoscopically presented words. doi
  50. (1985). The time course of phonological code activation in two writing systems. doi
  51. (1998). The utility of item-level analyses in model evaluation: A reply to Seidenberg and Plaut. doi
  52. (1996). Understanding normal and impaired reading: Computational principles in quasi-regular domains. doi
  53. (2004). Visual word recognition of single-syllable words.
  54. (1998). Whammies and double whammies: The effect of length on nonword reading. doi
  55. (1984). When does irregular spelling or pronunciation influence word recognition. doi
  56. (2003). When parallel processing in visual word processing is not enough: New evidence from naming. doi
  57. (1995). written frequency because this is the source of the frequencies in the DRC model’s lexicon. This makes it possible to assert that differences between the regression models and the DRC are not due to the quality of frequency count.

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