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Reading and Writing

, Volume 31, Issue 5, pp 1155–1180 | Cite as

Effects of lexical features, textual properties, and individual differences on word processing times during second language reading comprehension

  • Minkyung Kim
  • Scott A. Crossley
  • Stephen Skalicky
Article

Abstract

This study examines whether lexical features and textual properties along with individual differences on the part of readers influence word processing times during second language (L2) reading comprehension. Forty-eight Spanish-speaking adolescent and adult learners of English read nine English passages in a self-paced word-by-word reading experiment. Linear mixed effects models revealed that for word-level effects, more frequent words facilitated L2 word processing times. In contrast, words with higher concreteness and words with higher orthographic distinctiveness inhibited L2 word processing times. For text-level effects, processing times for L2 words in passages that were simplified at the beginning and intermediate levels were significantly faster than those for words in authentic passages, and L2 word processing times decreased as L2 learners encountered each new passage and as they read words further into each passage. With respect to individual differences, L2 word processing times became quicker for more proficient L2 readers. It was also found that L2 reading proficiency interacted with orthographic distinctiveness, such that more proficient L2 readers had smaller effects of orthographic distinctiveness on L2 processing times than less proficient L2 readers. These findings indicate that various sources, including lexical features, textual properties, and individual differences, all affect word processing during L2 reading comprehension.

Keywords

Second language reading Word processing Text simplification Individual differences 

Supplementary material

11145_2018_9833_MOESM1_ESM.pdf (352 kb)
Supplementary material 1 (PDF 352 kb)

References

  1. Adelman, J. S., Sabatos-DeVito, M. G., Marquis, S. J., & Estes, Z. (2014). Individual differences in reading aloud: A mega-study, item effects, and some models. Cognitive Psychology, 68, 113–160.CrossRefGoogle Scholar
  2. Andrews, S. (1997). The effect of orthographic similarity on lexical retrieval: Resolving neighborhood conflicts. Psychonomic Bulletin & Review, 4(4), 439–461.CrossRefGoogle Scholar
  3. Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59(4), 390–412.CrossRefGoogle Scholar
  4. Balota, D. A., Yap, M. J., Cortese, M. J., Hutchison, K. I., Kessler, B., Loftis, B., et al. (2007). The English lexicon project. Behavior Research Methods, 39, 445–459.CrossRefGoogle Scholar
  5. Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language, 68(3), 255–278.CrossRefGoogle Scholar
  6. Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). lme4: Linear mixed-effects models using Eigen and S4. R package version 1.1-9. https://CRAN.R-project.org/package=lme4.
  7. Brysbaert, M., Buchmeier, M., Conrad, M., Jacobs, A. M., Bülte, J., & Bühl, A. (2011). The word frequency effect: A review of recent developments and implications for the choice of frequency estimate. Experimental Psychology, 58(5), 412–424.CrossRefGoogle Scholar
  8. Brysbaert, M., Drieghe, D., & Vitu, F. (2005). Word skipping: Implications for theories of eye movement control in reading. In G. Underwood (Ed.), Cognitive processes in eye guidance (pp. 53–77). Oxford: Oxford University Press.CrossRefGoogle Scholar
  9. Brysbaert, M., & Duyck, W. (2010). Is it time to leave behind the revised hierarchical model of bilingual language processing after fifteen years of service? Bilingualism: Language and Cognition, 13(3), 359–371.CrossRefGoogle Scholar
  10. Brysbaert, M., Lagrou, E., & Stevens, M. (2017). Visual word recognition in a second language: A test of the lexical entrenchment hypothesis with lexical decision times. Bilingualism: Language and Cognition, 20(3), 530–548.CrossRefGoogle Scholar
  11. Brysbaert, M., & New, B. (2009). Moving beyond Kucera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English. Behavior Research Methods, 41(4), 977–990.CrossRefGoogle Scholar
  12. Brysbaert, M., Warriner, A. B., & Kuperman, V. (2014). Concreteness ratings for 40 thousand generally known English word lemmas. Behavior Research Methods, 46(3), 904–911.CrossRefGoogle Scholar
  13. Buchanan, L., Westbury, C., & Burgess, C. (2001). Characterizing semantic space: Neighborhood effects in word recognition. Psychonomic Bulletin & Review, 8, 531–544.CrossRefGoogle Scholar
  14. Butler, B., & Hains, S. (1979). Individual differences in word recognition latency. Memory & Cognition, 7, 68–76.CrossRefGoogle Scholar
  15. Collins, A., Brown, J. S., & Larkin, K. M. (1980). Inference in text understanding. In R. J. Spiro, B. C. Bruce, & W. F. Brewer (Eds.), Theoretical issues in reading comprehension (pp. 385–407). Hillsdale, NJ: Erlbaum.Google Scholar
  16. Coltheart, M., Davelaar, E., Jonasson, T., & Besner, D. (1977). Access to the internal lexicon. In S. Dornic (Ed.), Attention & performance IV (pp. 535–555). Hillsdale, NJ: Erlbaum.Google Scholar
  17. Cop, U., Keuleers, E., Drieghe, D., & Duyck, W. (2015). Frequency effects in monolingual and bilingual natural reading. Psychonomic Bulletin & Review, 22, 1216–1234.CrossRefGoogle Scholar
  18. Crossley, S. A., Allen, D., & McNamara, D. S. (2011). Text readability and intuitive simplification: A comparison of readability formulas. Reading in a Foreign Language, 23, 84–102.Google Scholar
  19. Crossley, S. A., Allen, D., & McNamara, D. S. (2012). Text simplification and comprehensible input: A case for an intuitive approach. Language Teaching Research, 16, 89–108.CrossRefGoogle Scholar
  20. Crossley, S. A., & McNamara, D. S. (2016). Text-based recall and extra-textual generations resulting from simplified and authentic texts. Reading in a Foreign Language, 28(1), 1–19.Google Scholar
  21. Crossley, S. A., Yang, H. S., & McNamara, D. S. (2014). What’s so simple about simplified texts? A computational and psycholinguistic investigation of text comprehension and text processing. Reading in a Foreign Language, 26(1), 92–113.Google Scholar
  22. Davies, M. (2008). The Corpus of Contemporary American English (COCA): 410 million words, 1990–present. Retrieved from http://www.americancorpus.org.
  23. De Groot, A. M. B., & Poot, R. (1997). Word translation at three levels of proficiency in a second language: The ubiquitous involvement of conceptual memory. Language Learning, 47, 215–264.CrossRefGoogle Scholar
  24. DeKeyser, R. (2007). Skill acquisition theory. In B. VanPatten & J. Williams (Eds.), Theories in second language acquisition: An introduction (pp. 94–113). Mahwah: Lawrence Erlbaum Associates Publishers.Google Scholar
  25. Diependaele, K., Lemhöfer, K., & Brysbaert, M. (2013). The word frequency effect in first- and second-language word recognition: A lexical entrenchment account. Quarterly Journal of Experimental Psychology, 66, 843–863.CrossRefGoogle Scholar
  26. Dirix, N., Cop, U., Drieghe, D., & Duyck, W. (2017). Cross-lingual neighborhood effects in generalized lexical decision and natural reading. Journal of Experimental Psychology. Learning, Memory, and Cognition, 43(6), 887–915.CrossRefGoogle Scholar
  27. Dirix, N., & Duyck, W. (2017). The first-and second-language age of acquisition effect in first-and second-language book reading. Journal of Memory and Language, 97, 103–120.CrossRefGoogle Scholar
  28. Educational Testing Service. (2005). TOEFL iBT scores: Better information about the ability to communicate in an academic setting. Retrieved from http://www.hhl.de/fileadmin/texte/_relaunch/Conversion_Table_TOEFL_%28PBT,CBT,iBT%29.pdf.
  29. 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, and Cognition, 22, 696–713.CrossRefGoogle Scholar
  30. Gee, N. R., Nelson, D. L., & Krawczyk, D. (1999). Is the concreteness effect a result of underlying network interconnectivity? Journal of Memory and Language, 40(4), 479–497.CrossRefGoogle Scholar
  31. George, D., & Mallery, M. (2010). SPSS for windows step by step: A simple guide and reference, 17.0 update (10th ed.). Boston: Pearson.Google Scholar
  32. Gollan, T. H., Montaya, R. I., Sera, C., & Sandoval, T. C. (2008). More use almost always means a smaller frequency effect: Aging, bilingualism and the weaker links hypothesis. Journal of Memory and Language, 58(3), 787–814.CrossRefGoogle Scholar
  33. Haberlandt, K., & Graesser, A. C. (1985). Component processes in text comprehension and some of their interactions. Journal of Experimental Psychology: General, 114, 357–374.CrossRefGoogle Scholar
  34. Hothorn, T., Bretz, F., & Westfall, P. (2008). Simultaneous inference in general parametric models. Biometrical Journal, 50(3), 346–363.CrossRefGoogle Scholar
  35. Izura, C., & Ellis, A. W. (2004). Age of acquisition effects in translation judgement tasks. Journal of Memory and Language, 50(2), 165–181.CrossRefGoogle Scholar
  36. Juhasz, B. J., & Pollatsek, A. (2011). Lexical influences on eye movements in reading. In S. P. Liversedge, I. D. Gilchrist, & S. Everling (Eds.), The Oxford handbook of eye movements (pp. 873–893). New York, NY: Oxford University Press.Google Scholar
  37. Just, M. A., Carpenter, P. A., & Woolley, J. D. (1982). Paradigms and processes in reading comprehension. Journal of Experimental Psychology: General, 111, 228–238.CrossRefGoogle Scholar
  38. Katz, L., Brancazio, L., Irwin, J., Katz, S., Magnuson, J., & Whalen, D. H. (2012). What lexical decision and naming tell us about reading. Reading and Writing, 25(6), 1259–1282.CrossRefGoogle Scholar
  39. Kaushanskaya, M., & Rechtzigel, K. (2012). Concreteness effects in bilingual and monolingual word learning. Psychonomic Bulletin & Review, 19, 935–941.CrossRefGoogle Scholar
  40. Kennedy, A., & Murray, W. S. (1984). Inspection times for words in syntactically ambiguous sentences under three presentation conditions. Journal of Experimental Psychology: Human Perception and Performance, 10, 833–849.Google Scholar
  41. Kintsch, W., & van Dijk, T. A. (1978). Toward a model of text comprehension and production. Psychological Review, 85, 363–394.CrossRefGoogle Scholar
  42. Kiss, G. R., Armstrong, C., Milroy, R., & Piper, J. (1973). An associative thesaurus of English and its computer analysis. In A. J. Aitkin, R. W. Bailey, & N. Hamilton-Smith (Eds.), The computer and literary studies (pp. 153–165). Edinburgh, UK: Edinburgh University Press.Google Scholar
  43. Koda, K. (2007). Reading and language learning: Crosslinguistic constraints on second language reading development. Language Learning, 57(SUPPL. 1), 1–44.CrossRefGoogle Scholar
  44. Kroll, J. F., & de Groot, A. M. B. (1997). Lexical and conceptual memory in the bilingual: Mapping form to meaning in two languages. In A. M. B. de Groot & J. F. Kroll (Eds.), Tutorials in bilingualism: Psycholinguistic perspectives (pp. 201–224). Mahwah, NJ: Lawrence Erlbaum Publishers.Google Scholar
  45. Kuperman, V., Drieghe, D., Keuleers, E., & Brysbaert, M. (2013). How strongly do word reading times and lexical decision times correlate? Combining data from eye movement corpora and megastudies. The Quarterly Journal of Experimental Psychology, 66(3), 563–580.CrossRefGoogle Scholar
  46. Kuperman, V., & Van Dyke, J. A. (2013). Reassessing word frequency as a determinant of word recognition for skilled and unskilled readers. Journal of Experimental Psychology: Human Perception and Performance, 39(3), 802–823.Google Scholar
  47. Kuznetsova, A, Brockhoff, P. B., & Christensen, R. H. B. (2015). lmerTest: Tests in linear mixed effects models. R package version 2.0-29. http://CRAN.R-project.org/package=lmerTest.
  48. Kyle, K., & Crossley, S. A. (2015). Automatically assessing lexical sophistication: Indices, tools, findings, and application. TESOL Quarterly, 49(4), 757–786.CrossRefGoogle Scholar
  49. Legge, G. E., Rubin, G. S., Pelli, D. G., & Schleske, M. M. (1985). Psychophysics of reading: II. Low vision. Vision Research, 25, 253–266.CrossRefGoogle Scholar
  50. Lüdecke, D. (2017). sjPlot: Data visualization for statistics in social science. R package version 2.3.1. https://github.com/sjPlot/devel.
  51. Luke, S. G., Henderson, J. M., & Ferreira, F. (2015). Children’s eye-movements during reading reflect the quality of lexical representations: An individual differences approach. Journal of Experimental Psychology. Learning, Memory, and Cognition, 41(6), 1675–1683.CrossRefGoogle Scholar
  52. MacGinitie, W. H., MacGinitie, R. K., Maria, K., Dreyer, L. G., & Hughes, K. E. (2000a). Gates-MacGinitie reading test (4th ed.). Itasca, IL: Riverside Publishing Company.Google Scholar
  53. MacGinitie, W. H., MacGinitie, R. K., Maria, K., Dreyer, L. G., & Hughes, K. E. (2000b). Gates MacGinitie reading tests fourth edition levels 7/9 & 10/12 forms S&T: Manual for scoring and interpretation. Chicago: Riverside Publishing Company.Google Scholar
  54. Magliano, J. P., Graesser, A. C., Eymard, L. A., Haberlandt, K., & Gholson, B. (1993). Locus of interpretive and inference processes during text comprehension: A comparison of gaze durations and word reading times. Journal of Experimental Psychology. Learning, Memory, and Cognition, 19, 704–709.CrossRefGoogle Scholar
  55. Matsuki, K., Kuperman, V., & Van Dyke, J. A. (2016). The Random Forests statistical technique: An examination of its value for the study of reading. Scientific Studies of Reading, 20(1), 20–33.CrossRefGoogle Scholar
  56. McClelland, J. L., & Rumelhart, D. E. (1981). An interactive activation model of context effects in letter perception: Part 1. An account of basic findings. Psychological Review, 88(5), 375–407.CrossRefGoogle Scholar
  57. McNamara, D. S. (2001). Reading both high-coherence and low-coherence texts: Effects of text sequence and prior knowledge. Canadian Journal of Experimental Psychology, 55(1), 51–62.CrossRefGoogle Scholar
  58. Meara, P. (1978). Learners’ associations in French. Interlanguage Studies Bulletin, 3, 192–211.Google Scholar
  59. Nakagawa, S., & Schielzeth, H. (2013). A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods in Ecology and Evolution, 4(2), 133–142.CrossRefGoogle Scholar
  60. Nelson, D. L., McEvoy, C. L., & Schreiber, T. A. (1998). The University of South Florida word association, rhyme, and word fragment norms. http://www.usf.edu/FreeAssociation/.
  61. Nelson, D. L., Schreiber, T. A., & McEvoy, C. L. (1992). Processing implicit and explicit representations. Psychological Review, 99, 322–348.CrossRefGoogle Scholar
  62. Paivio, A. U. (1986). Mental representations: A dual coding approach. New York: Oxford University Press.Google Scholar
  63. Pavlenko, A., & Piller, I. (2008). Language education and gender. In N. H. Hornberger (Ed.), Encyclopedia of language and education (pp. 57–69). Berlin: Springer.CrossRefGoogle Scholar
  64. Perfetti, C. A. (1992). The representation problem in reading acquisition. In P. B. Gough, L. C. Ehri, & R. Treiman (Eds.), Reading acquisition (pp. 145–174). Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
  65. Perfetti, C. (2007). Reading ability: Lexical quality to comprehension. Scientific Studies of Reading, 11(4), 357–383.CrossRefGoogle Scholar
  66. R Core Team. (2015). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.
  67. Radach, R., Huestegge, L., & Reilly, R. (2008). The role of global top-down factors in local eye-movement control in reading. Psychological Research, 72, 675–688.CrossRefGoogle Scholar
  68. Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124, 372–422.CrossRefGoogle Scholar
  69. Rayner, K. (2009). Eye movements and attention in reading, scene perception, and visual search. Quarterly Journal of Experimental Psychology, 62, 1457–1506.CrossRefGoogle Scholar
  70. Rayner, K., Kambe, G., & Duffy, S. A. (2000). The effect of clause wrap-up on eye movements during reading. The Quarterly Journal of Experimental Psychology: Section A, 53(4), 1061–1080.CrossRefGoogle Scholar
  71. Roquet, H., Llopis, J., & Pérez-Vidal, C. (2016). Does gender have an impact on the potential benefits learners may achieve in two contexts compared: Formal instruction and formal instruction + content and language integrated learning? International Journal of Bilingual Education and Bilingualism, 19(4), 370–386.CrossRefGoogle Scholar
  72. Schotter, E. R., Tran, R., & Rayner, K. (2014). Don’t believe what you read (only once) comprehension is supported by regressions during reading. Psychological Science, 25(6), 1218–1226.CrossRefGoogle Scholar
  73. Schwanenflugel, P. J., Harnishfeger, K. K., & Stowe, R. W. (1988). Context availability and lexical decisions for abstract and concrete words. Journal of Memory and Language, 27(5), 499–520.CrossRefGoogle Scholar
  74. Stanovich, K. E. (1980). Towards an interactive-compensatory model of individual differences in the development of reading fluency. Reading Research Quarterly, 16, 32–71.CrossRefGoogle Scholar
  75. Sunderland, J. (2000). Issues of language and gender in second and foreign language education. Language Teaching, 33(4), 203–223.CrossRefGoogle Scholar
  76. Tweissi, A. I. (1998). The effects of the amount and the type of simplification on foreign language reading comprehension. Reading in a Foreign Language, 11, 191–206.Google Scholar
  77. van Gelderen, A., Schoonen, R., de Glopper, K., Hulstijn, J., Simis, A., Snellings, P., et al. (2004). Linguistic knowledge, processing speed, and metacognitive knowledge in first- and second-language reading comprehension: A componential analysis. Journal of Educational Psychology, 96(1), 19–30.CrossRefGoogle Scholar
  78. van Hell, J. G., & De Groot, A. (1998). Conceptual representation in bilingual memory: Effects of concreteness and cognate status in word association. Bilingualism: Language and Cognition, 1(3), 193–211.CrossRefGoogle Scholar
  79. van Heuven, W., Dijkstra, T., & Grainger, J. (1998). Orthographic neighborhood effect in bilingual word recognition. Journal of Memory and Language, 39, 458–483.CrossRefGoogle Scholar
  80. Veldre, A., & Andrews, S. (2014). Lexical quality and eye movements: Individual differences in the perceptual span of skilled adult readers. The Quarterly Journal of Experimental Psychology, 67(4), 703–727.CrossRefGoogle Scholar
  81. Whitford, V., & Titone, D. (2012). Second-language experience modulates first-and second-language word frequency effects: Evidence from eye movement measures of natural paragraph reading. Psychonomic Bulletin & Review, 19(1), 73–80.CrossRefGoogle Scholar
  82. Whitford, V., & Titone, D. (2015). Second-language experience modulates eye movements during first- and second-language sentence reading: Evidence from a gaze-contingent moving window paradigm. Journal of Experimental Psychology. Learning, Memory, and Cognition, 41(4), 1118–1129.CrossRefGoogle Scholar
  83. Whitford, V., & Titone, D. (2017). The effects of word frequency and word predictability during first- and second-language paragraph reading in bilingual older and younger adults. Psychology and Aging, 32(2), 158–177.CrossRefGoogle Scholar
  84. van Wijnendaele, I., & Brysbaert, M. (2002). Visual word recognition in bilinguals: Phonological priming from the second to the first language. Journal of Experimental Psychology: Human Perception and Performance, 28, 616–627.Google Scholar
  85. Witzel, N. O., & Forster, K. I. (2012). How L2 words are stored: The episodic L2 hypothesis. Journal of Experimental Psychology. Learning, Memory, and Cognition, 38(6), 1608–1621.CrossRefGoogle Scholar
  86. Wolter, B. (2002). Assessing proficiency through word associations: Is there still hope? System, 30, 315–329.CrossRefGoogle Scholar
  87. Yano, Y., Long, M., & Ross, S. (1994). Effects of simplified and elaborated texts on foreign language reading comprehension. Language Learning, 44, 189–219.CrossRefGoogle Scholar
  88. Yap, M. J., Balota, D. A., Sibley, D. E., & Ratcliff, R. (2012). Individual differences in visual word recognition: Insights from the English Lexicon Project. Journal of Experimental Psychology-Human Perception and Performance, 38(1), 53–79.CrossRefGoogle Scholar
  89. Yarkoni, T., Balota, D., & Yap, M. (2008). Moving beyond Coltheart’s N: A new measure of orthographic similarity. Psychonomic Bulletin & Review, 15(5), 971–979.CrossRefGoogle Scholar
  90. Zareva, A., Schwanenflugel, P., & Nikolova, Y. (2005). Relationship between lexical competence and language proficiency. Studies in Second Language Acquisition, 27(4), 567–595.CrossRefGoogle Scholar
  91. Zareva, A., & Wolter, B. (2012). The “promise” of three methods of word association analysis to L2 lexical research. Second Language Research, 28(1), 41–67.CrossRefGoogle Scholar

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Authors and Affiliations

  1. 1.Applied Linguistics and ESLGeorgia State UniversityAtlantaUSA

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