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  1. The Clock Counts – Length Effects in English Dyslexic Readers.S. Provazza, D. Giofrè, A. -M. Adams & D. J. Roberts - 2019 - Frontiers in Psychology 10.
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  • Facilitatory Effects of Multi-Word Units in Lexical Processing and Word Learning: A Computational Investigation.Robert Grimm, Giovanni Cassani, Steven Gillis & Walter Daelemans - 2017 - Frontiers in Psychology 8.
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  • Slower Perception Followed by Faster Lexical Decision in Longer Words: A Diffusion Model Analysis.Yulia Oganian, Eva Froehlich, Ulrike Schlickeiser, Markus J. Hofmann, Hauke R. Heekeren & Arthur M. Jacobs - 2015 - Frontiers in Psychology 6.
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  • Must Analysis of Meaning Follow Analysis of Form? A Time Course Analysis.Laurie B. Feldman, Petar Milin, Kit W. Cho, Fermín Moscoso del Prado Martín & Patrick A. O’Connor - 2015 - Frontiers in Human Neuroscience 9.
  • Competition and Cooperation Among Similar Representations: Toward a Unified Account of Facilitative and Inhibitory Effects of Lexical Neighbors.Qi Chen & Daniel Mirman - 2012 - Psychological Review 119 (2):417-430.
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  • An Amorphous Model for Morphological Processing in Visual Comprehension Based on Naive Discriminative Learning.R. Harald Baayen, Petar Milin, Dusica Filipović Đurđević, Peter Hendrix & Marco Marelli - 2011 - Psychological Review 118 (3):438-481.
  • Dispersion of Response Times Reveals Cognitive Dynamics.John G. Holden, Guy C. Van Orden & Michael T. Turvey - 2009 - Psychological Review 116 (2):318-342.
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  • Emotion and Language: Valence and Arousal Affect Word Recognition.Victor Kuperman, Zachary Estes, Marc Brysbaert & Amy Beth Warriner - 2014 - Journal of Experimental Psychology: General 143 (3):1065-1081.
  • Is More Always Better for Verbs? Semantic Richness Effects and Verb Meaning.David M. Sidhu, Alison Heard & Penny M. Pexman - 2016 - Frontiers in Psychology 7.
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  • The Self-Organization of a Spoken Word.John G. Holden & Srinivasan Rajaraman - 2012 - Frontiers in Psychology 3.
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  • Generalization From Newly Learned Words Reveals Structural Properties of the Human Reading System.Blair C. Armstrong, Nicolas Dumay, Woojae Kim & Mark A. Pitt - 2017 - Journal of Experimental Psychology: General 146 (2):227-249.
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  • Feature Statistics Modulate the Activation of Meaning During Spoken Word Processing.Barry J. Devereux, Kirsten I. Taylor, Billi Randall, Jeroen Geertzen & Lorraine K. Tyler - 2016 - Cognitive Science 40 (2):325-350.
    Understanding spoken words involves a rapid mapping from speech to conceptual representations. One distributed feature-based conceptual account assumes that the statistical characteristics of concepts’ features—the number of concepts they occur in and likelihood of co-occurrence —determine conceptual activation. To test these claims, we investigated the role of distinctiveness/sharedness and correlational strength in speech-to-meaning mapping, using a lexical decision task and computational simulations. Responses were faster for concepts with higher sharedness, suggesting that shared features are facilitatory in tasks like lexical decision (...)
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  • Drifting Through Basic Subprocesses of Reading: A Hierarchical Diffusion Model Analysis of Age Effects on Visual Word Recognition.Eva Froehlich, Johanna Liebig, Johannes C. Ziegler, Mario Braun, Ulman Lindenberger, Hauke R. Heekeren & Arthur M. Jacobs - 2016 - Frontiers in Psychology 7.
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  • Emotion Word Processing: Does Mood Make a Difference?Sara C. Sereno, Graham G. Scott, Bo Yao, Elske J. Thaden & Patrick J. O'Donnell - 2015 - Frontiers in Psychology 6.
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  • Task Modulation of Brain Responses in Visual Word Recognition as Studied Using EEG/MEG and fMRI.Y. Chen, M. H. Davis, F. Pulvermüller & O. Hauk - 2013 - Frontiers in Human Neuroscience 7.
  • Neural Networks Underlying Contributions From Semantics in Reading Aloud.Olga Boukrina & William W. Graves - 2013 - Frontiers in Human Neuroscience 7.
  • Error, Error Everywhere: A Look at Megastudies of Word Reading.Daragh E. Sibley, Christopher T. Kello & Mark S. Seidenberg - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 1036--1041.
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  • Automatic Lexical Access in Visual Modality: Eye-Tracking Evidence.Ekaterina Stupina, Andriy Myachykov & Yury Shtyrov - 2018 - Frontiers in Psychology 9.
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  • A Hierarchical Model of Inhibitory Control.Jeggan Tiego, Renee Testa, Mark A. Bellgrove, Christos Pantelis & Sarah Whittle - 2018 - Frontiers in Psychology 9.
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  • Morphological Processing as We Know It: An Analytical Review of Morphological Effects in Visual Word Identification.Simona Amenta & Davide Crepaldi - 2012 - Frontiers in Psychology 3.
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  • Tracking the Mind During Reading: The Influence of Past, Present, and Future Words on Fixation Durations.Reinhold Kliegl, Antje Nuthmann & Ralf Engbert - 2006 - Journal of Experimental Psychology: General 135 (1):12-35.
  • Do You Read How I Read? Systematic Individual Differences in Semantic Reliance Amongst Normal Readers.Anna M. Woollams, Matthew A. Lambon Ralph, Gaston Madrid & Karalyn E. Patterson - 2016 - Frontiers in Psychology 7.
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  • Aging and the Optimal Viewing Position Effect in Chinese.Pingping Liu, Danlu Liu, Buxin Han & Kevin B. Paterson - 2015 - Frontiers in Psychology 6.
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  • Quantity and Diversity: Simulating Early Word Learning Environments.Jessica L. Montag, Michael N. Jones & Linda B. Smith - 2018 - Cognitive Science 42 (S2):375-412.
    The words in children's language learning environments are strongly predictive of cognitive development and school achievement. But how do we measure language environments and do so at the scale of the many words that children hear day in, day out? The quantity and quality of words in a child's input are typically measured in terms of total amount of talk and the lexical diversity in that talk. There are disagreements in the literature whether amount or diversity is the more critical (...)
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  • An Extension of a Parallel‐Distributed Processing Framework of Reading Aloud in Japanese: Human Nonword Reading Accuracy Does Not Require a Sequential Mechanism.Kenji Ikeda, Taiji Ueno, Yuichi Ito, Shinji Kitagami & Jun Kawaguchi - 2017 - Cognitive Science 41 (S6).
    Humans can pronounce a nonword. Some researchers have interpreted this behavior as requiring a sequential mechanism by which a grapheme-phoneme correspondence rule is applied to each grapheme in turn. However, several parallel-distributed processing models in English have simulated human nonword reading accuracy without a sequential mechanism. Interestingly, the Japanese psycholinguistic literature went partly in the same direction, but it has since concluded that a sequential parsing mechanism is required to reproduce human nonword reading accuracy. In this study, by manipulating the (...)
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  • Knowing Chinese Character Grammar.James Myers - 2016 - Cognition 147:127-132.
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  • The Bayesian Reader: Explaining Word Recognition as an Optimal Bayesian Decision Process.Dennis Norris - 2006 - Psychological Review 113 (2):327-357.
  • ExGUtils: A Python Package for Statistical Analysis With the Ex-Gaussian Probability Density.Carmen Moret-Tatay, Daniel Gamermann, Esperanza Navarro-Pardo & Pedro Fernández de Córdoba Castellá - 2018 - Frontiers in Psychology 9.
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  • Beginning Readers Activate Semantics From Sub-Word Orthography.Kate Nation & Joanne Cocksey - 2009 - Cognition 110 (2):273-278.
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  • Compounding as Abstract Operation in Semantic Space: Investigating Relational Effects Through a Large-Scale, Data-Driven Computational Model.Marco Marelli, Christina L. Gagné & Thomas L. Spalding - 2017 - Cognition 166:207-224.
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  • Division of Labor in Vocabulary Structure: Insights From Corpus Analyses.Morten H. Christiansen & Padraic Monaghan - 2016 - Topics in Cognitive Science 8 (3):610-624.
    Psychologists have used experimental methods to study language for more than a century. However, only with the recent availability of large-scale linguistic databases has a more complete picture begun to emerge of how language is actually used, and what information is available as input to language acquisition. Analyses of such “big data” have resulted in reappraisals of key assumptions about the nature of language. As an example, we focus on corpus-based research that has shed new light on the arbitrariness of (...)
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  • Emotions in Reading: Disgust, Empathy and the Contextual Learning Hypothesis.Catarina Silva, Marie Montant, Aurelie Ponz & Johannes C. Ziegler - 2012 - Cognition 125 (2):333-338.
  • Freeze or Flee? Negative Stimuli Elicit Selective Responding.Zachary Estes & Michelle Verges - 2008 - Cognition 108 (2):557-565.
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  • Semantic Richness Effects in Spoken Word Recognition: A Lexical Decision and Semantic Categorization Megastudy.Winston D. Goh, Melvin J. Yap, Mabel C. Lau, Melvin M. R. Ng & Luuan-Chin Tan - 2016 - Frontiers in Psychology 7.
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  • The Interaction Between Phonological and Semantic Processing in Reading Chinese Characters.Min Dang, Rui Zhang, Xiaojuan Wang & Jianfeng Yang - 2019 - Frontiers in Psychology 9.
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  • Get Rich Quick: The Signal to Respond Procedure Reveals the Time Course of Semantic Richness Effects During Visual Word Recognition.Ian S. Hargreaves & Penny M. Pexman - 2014 - Cognition 131 (2):216-242.
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  • Bilingual Language Switching: Production Vs. Recognition.Michela Mosca & Kees de Bot - 2017 - Frontiers in Psychology 8.
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  • Psychocentricity and Participant Profiles: Implications for Lexical Processing Among Multilinguals.Gary Libben, Kaitlin Curtiss & Silke Weber - 2014 - Frontiers in Psychology 5.
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  • Rules Versus Statistics: Insights From a Highly Inflected Language.Jelena Mirković, Mark S. Seidenberg & Marc F. Joanisse - 2011 - Cognitive Science 35 (4):638-681.
    Inflectional morphology has been taken as a paradigmatic example of rule-governed grammatical knowledge (Pinker, 1999). The plausibility of this claim may be related to the fact that it is mainly based on studies of English, which has a very simple inflectional system. We examined the representation of inflectional morphology in Serbian, which encodes number, gender, and case for nouns. Linguists standardly characterize this system as a complex set of rules, with disagreements about their exact form. We present analyses of a (...)
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