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Surviving blind decomposition: A distributional analysis of the time-course of complex word recognition

dc.contributor.authorSchmidtke, Daniel
dc.contributor.authorMatsuki, Kazunaga
dc.contributor.authorKuperman, Victor
dc.contributor.departmentNoneen_US
dc.date.accessioned2018-01-29T21:23:40Z
dc.date.available2018-01-29T21:23:40Z
dc.date.issued2017-11
dc.description.abstractThe current study addresses a discrepancy in the psycholinguistic literature about the chronology of information processing during the visual recognition of morphologically complex words. Form-then-meaning accounts of complex word recognition claim that morphemes are processed as units of form prior to any influence of their meanings, whereas form-and-meaning models posit that recognition of complex word forms involves the simultaneous access of morphological and semantic information. The study reported here addresses this theoretical discrepancy by applying a nonparametric distributional technique of survival analysis (Reingold & Sheridan, 2014) to 2 behavioral measures of complex word processing. Across 7 experiments reported here, this technique is employed to estimate the point in time at which orthographic, morphological, and semantic variables exert their earliest discernible influence on lexical decision RTs and eye movement fixation durations. Contrary to form-then-meaning predictions, Experiments 1-4 reveal that surface frequency is the earliest lexical variable to exert a demonstrable influence on lexical decision RTs for English and Dutch derived words (e.g., badness; bad + ness), English pseudoderived words (e.g., wander; wand + er) and morphologically simple control words (e.g., ballad; ball + ad). Furthermore, for derived word processing across lexical decision and eye-tracking paradigms (Experiments 1-2; 5-7), semantic effects emerge early in the time-course of word recognition, and their effects either precede or emerge simultaneously with morphological effects. These results are not consistent with the premises of the form-then-meaning view of complex word recognition, but are convergent with a form-and-meaning account of complex word recognition. (PsycINFO Database Recorden_US
dc.description.sponsorshipThis work was supported by the Ontario Trillium Award and a Graduate fellowship awarded by the Lewis & Ruth Sherman Centre for Digital Scholarship (McMaster University) to the first author. The second and third authors’ contributions were supported by the NIH R01 HD 073288 (PI Julie A. Van Dyke) grant for the project Retrieval Interference in Skilled and Unskilled Reading Comprehension. The third author’s contribution was also supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant 402395-2012, the SSHRC Partnership Training Grant 895-2016-1008 (PI Gary Libben), the Early Research Award from the Ontario Ministry of Research and Innovation, and the Canada Research Chair (Tier 2) award. We are indebted to Harald Baayen for his valuable feedback, comments, and discussion at the early stages of this work. We also thank the audience at the Tenth International Conference on The Mental Lexicon, Ottawa, Ontario, Canada (October 19 –21). Thanks are also due to Thomas Spalding, Christina Gagné, and members of the Complex Cognition Lab at the University of Alberta for feedback and discussion on an early presentation of this work.en_US
dc.identifier10.1037/xlm0000411
dc.identifier.citationSchmidtke, D., Matsuki, K., & Kuperman, V. (2017). Surviving blind decomposition: A distributional analysis of the time-course of complex word recognition. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(11), 1793.en_US
dc.identifier.other10.1037/xlm0000411
dc.identifier.urihttp://hdl.handle.net/11375/22539
dc.language.isoenen_US
dc.subjectmorphological processingen_US
dc.subjectsurvival analysisen_US
dc.subjectlexical decisionen_US
dc.subjectsemanticsen_US
dc.subjectvalenceen_US
dc.titleSurviving blind decomposition: A distributional analysis of the time-course of complex word recognitionen_US
dc.typeArticleen_US

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