Independent effects of collocation strength and contextual predictability on eye movements in reading

References

• Ashby, J., & Rayner, K. (2004). Representing syllable information during silent reading: Evidence from eye movements. Language and Cognitive Processes, 19(3), 391–426. https://doi.org/https://doi.org/10.1080/01690960344000233
   Web of Science ®Google Scholar
• Baayen, R. H. (2008). Analyzing linguistic data: A practical introduction to statistics using R. Cambridge University Press. https://doi.org/https://doi.org/10.1017/CBO9780511801686
   Google Scholar
• Baayen, R. H., Piepenbrock, R., & Gulikers, L. (1995). The CELEX lexical database (release 2) [CD-ROM]. Linguistic Data Consortium, University of Pennsylvania.
   Google Scholar
• Bailey, I. L., & Lovie, J. E. (1976). New design principles for visual acuity letter charts. American Journal of Optometry and Physiological Optics, 53(11), 740–745. https://doi.org/https://doi.org/10.1097/00006324-197611000-00006
   PubMedGoogle Scholar
• 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. https://doi.org/https://doi.org/10.1016/j.jml.2012.11.001
   Web of Science ®Google Scholar
• Bates, D., Maechler, M., & Bolker, B. (2012). lme4: Linear mixed-effects models using S4 classes. R package version 0.999375-42.
   Google Scholar
• Burnage, G., & Dunlop, D. (1992). Encoding the British National corpus. In J. M. Aarts, P. de Haan, & N. Oostdijk (Eds.), English language corpora: Design, analysis, exploitation (pp. 79–95). Rodopi.
   Google Scholar
• Carrol, G., & Conklin, K. (2014). Eye-tracking multi-word units: Some methodological questions. Journal of Eye Movement Research, 7(5), 1–11. https://doi.org/https://doi.org/10.16910/jemr.7.5.5
   Web of Science ®Google Scholar
• Conklin, K., & Schmitt, N. (2008). Formulaic sequences: Are they processed more quickly than nonformulaic language by native and nonnative speakers? Applied Linguistics, 29(1), 72–89. https://doi.org/https://doi.org/10.1093/applin/amm022
   Web of Science ®Google Scholar
• Conklin, K., & Schmitt, N. (2012). The processing of formulaic language. Annual Review of Applied Linguistics, 32, 45–61. https://doi.org/https://doi.org/10.1017/S0267190512000074
   Web of Science ®Google Scholar
• Cutter, M. G., Drieghe, D., & Liversedge, S. P. (2014). Preview benefit in English spaced compounds. Journal of Experimental Psychology: Learning, Memory, and Cognition, 40(6), 1778–1786. https://doi.org/https://doi.org/10.1037/xlm0000013
   PubMed Web of Science ®Google Scholar
• Durrant, P., & Doherty, A. (2010). Are high-frequency collocations psychologically real? Investigating the thesis of collocational priming. Corpus Linguistics and Linguistic Theory, 6(2), 125–155. https://doi.org/https://doi.org/10.1515/cllt.2010.006
   Web of Science ®Google Scholar
• Ellis, N., Frey, E., & Jalkanen, I. (2009). The psycholinguistic reality of collocation and semantic prosody. In U. Romer, & R. Schulze (Eds.), Exploring the lexis-grammar interface (pp. 89–115). John Benjamins.
   Google Scholar
• Frisson, S., Rayner, K., & Pickering, M. J. (2005). Effects of contextual predictability and transitional probability on eye movements during reading. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31(5), 862–877. https://doi.org/https://doi.org/10.1037/0278-7393.31.5.862
   PubMed Web of Science ®Google Scholar
• Gries, S. T., & Ellis, N. C. (2015). Statistical measures for usage-based linguistics. Language Learning, 65(S1), 228–255. https://doi.org/https://doi.org/10.1111/lang.12119
   Google Scholar
• Hill, J. (2000). Revising priorities: From grammatical failure to collocational success. In M. Lewis (Ed.), Teaching collocations (pp. 47–69). Language Teaching Publications.
   Google Scholar
• Hunston, S. (2002). Corpora in applied linguistics. Cambridge University Press. https://doi.org/https://doi.org/10.1017/CBO9781139524773
   Google Scholar
• Jeffreys, H. (1961). Theory of probability (3rd ed.). Oxford University Press.
   Google Scholar
• Kass, R. E., & Raftery, A. E. (1995). Bayes factors. Journal of the American Statistical Association, 90(430), 773–795. https://doi.org/https://doi.org/10.1080/01621459.1995.10476572
   Web of Science ®Google Scholar
• Liversedge, S. P., Paterson, K. B., & Pickering, M. J. (1998). Eye movements and measures of reading time. In G. Underwood (Ed.), Eye guidance in reading and scene perception (pp. 55–75). Elsevier.
   Google Scholar
• Lo, S., & Andrew, S. (2015). To transform or not to transform: Using generalized linear mixed models to analyze reaction time data. Frontiers in Psychology, 6, 1171. https://doi.org/https://doi.org/10.3389/fpsyg.2015.01171
   PubMed Web of Science ®Google Scholar
• McDonald, S. A., & Shillcock, R. C. (2003a). Eye movements reveal the on-line computation of lexical probabilities during reading. Psychological Science, 14(6), 648–652. https://doi.org/https://doi.org/10.1046/j.0956-7976.2003.psci_1480.x
   PubMed Web of Science ®Google Scholar
• McDonald, S. A., & Shillcock, R. C. (2003b). Low-level predictive inference in reading: The influence of transitional probabilities on eye movements. Vision Research, 43(16), 1735–1751. https://doi.org/https://doi.org/10.1016/S0042-6989(03)00237-2
   PubMed Web of Science ®Google Scholar
• Powell, M. J. D. (2009). “The BOBYQA algorithm for bound constrained optimization without derivatives”, Report No. DAMTP 2009/NA06, Centre for Mathematical Sciences, University of Cambridge, UK. http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2009_06.pdf
   Google Scholar
• Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research.. Psychological Bulletin, 124(3), 372–422. https://doi.org/https://doi.org/10.1037/0033-2909.124.3.372
   PubMed Web of Science ®Google Scholar
• Rayner, K. (2009). The 35th Sir frederick bartlett lecture: Eye movements and attention in reading, scene perception, and visual search. Quarterly Journal of Experimental Psychology, 62(8), 1457–1506. https://doi.org/https://doi.org/10.1080/17470210902816461
   PubMed Web of Science ®Google Scholar
• Rayner, K., & Pollatsek, A. (1989). The psychology of reading. Prentice Hall.
   Google Scholar
• R Core Team. (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/
   Google Scholar
• Reichle, E. D., Pollatsek, A., Fisher, D. L., & Rayner, K. (1998). Toward a model of eye movement control in reading. Psychological Review, 105(1), 125–157. https://doi.org/https://doi.org/10.1037/0033-295X.105.1.125
   PubMed Web of Science ®Google Scholar
• Reichle, E. D., Rayner, K., & Pollatsek, A. (2003). The E-Z reader model of eye-movement control in reading: Comparisons to other models. Behavioral and Brain Sciences, 26(4), 445–476. https://doi.org/https://doi.org/10.1017/S0140525X03000104
   PubMed Web of Science ®Google Scholar
• Rouder, J. N., Morey, R. D., Speckman, P. L., & Province, J. M. (2012). Default Bayes factors for ANOVA designs. Journal of Mathematical Psychology, 56(5), 356–374. https://doi.org/https://doi.org/10.1016/j.jmp.2012.08.001
   Web of Science ®Google Scholar
• Siyanova-Chanturia, A., Conklin, K., & van Heuven, W. J. B. (2011). Seeing a phrase “time and again” matters: The role of phrasal frequency in the processing of multiword sequences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37(3), 776–784. https://doi.org/https://doi.org/10.1037/a0022531
   PubMed Web of Science ®Google Scholar
• Sonbul, S. (2015). Fatal mistake, awful mistake, or extreme mistake? Frequency effects on off-line/on-line collocational processing. Bilingualism: Language and Cognition, 18(3), 419–437. https://doi.org/https://doi.org/10.1017/S1366728914000674
   Web of Science ®Google Scholar
• Underwood, G., Schmitt, N., & Galpin, A. (2004). The eyes have it: An eye-movement study into the processing of formulaic sequences. In N. Schmitt (Ed.), Formulaic sequences (pp. 153–172). John Benjamins.
   Google Scholar
• Vandekerckhove, J., Matzke, D., & Wagenmakers, E.-J. (2014). Model comparison and the principle of parsimony. In J. R. Busemeyer, Z. Townsend, J. Wang, & A. Eidels (Eds.), Oxford handbook of computational and mathematical psychology (pp. 125–144). Oxford University Press.
   Google Scholar
• Venables, W. N., & Ripley, B. D. (2002). Modern applied statistics with S (4th ed.). Springer.
   Google Scholar
• Vilkaite, L. (2016). Are non-adjacent collocations processed faster? Journal of Experimental Psychology: Learning, Memory, and Cognition, 42(10), 1632–1642. https://doi.org/https://doi.org/10.1037/xlm0000259
   PubMed Web of Science ®Google Scholar
• Warriner, A. B., Kuperman, V., & Brysbaert, M. (2013). Norms of valence, arousal, and dominance for 13,915 English lemmas. Behavior Research Methods, 45(4), 1191–1207. https://doi.org/https://doi.org/10.3758/s13428-012-0314-x
   PubMed Web of Science ®Google Scholar
• Wolter, B., & Yamashita, J. (2015). Processing collocations in a second language: A case of first language activation? Applied Psycholinguistics, 36(5), 1193–1221. https://doi.org/https://doi.org/10.1017/S0142716414000113
   Web of Science ®Google Scholar
• Wray, A. (2000). Formulaic sequences in second language teaching: Principle and practice. Applied Linguistics, 21(4), 463–489. https://doi.org/https://doi.org/10.1093/applin/21.4.463
   Web of Science ®Google Scholar
• Wray, A. (2002). Formulaic language and the lexicon. Cambridge University Press.
   Google Scholar
• Yu, L., Cutter, M. G., Yan, G., Bai, X., Fu, Y., Drieghe, D., & Liversedge, S. P. (2016). Word n+2 preview effects in three-character Chinese idioms and phrases. Language, Cognition and Neuroscience, 31(9), 1130–1149. https://doi.org/https://doi.org/10.1080/23273798.2016.1197954
   Web of Science ®Google Scholar
• Zang, C. (2019). New perspectives on serialism and parallelism in oculomotor control during reading: The multi-constituent unit hypothesis. Vision, 3(4), 1–13. https://doi.org/https://doi.org/10.3390/vision3040050
   Google Scholar