- Oxford Library of Psychology
- The Oxford Handbook of Reading
- Oxford Library of Psychology
- About the Editors
- The Oxford Handbook of Reading: Setting the Stage
- Writing Systems: Their Properties and Implications for Reading
- Visual Word Recognition
- The Work of the Eyes During Reading
- Visual Word Recognition in the Bayesian Reader Framework
- Neighborhood Effects in Visual Word Recognition and Reading
- Cross-Linguistic Perspectives on Letter-Order Processing: Empirical Findings and Theoretical Considerations
- The Nature of Lexical Representation in Visual Word Recognition
- Are Polymorphemic Words Processed Differently From Other Words During Reading?
- Individual Differences Among Skilled Readers: The Role of Lexical Quality
- What Does Acquired Dyslexia Tell Us About Reading in the Mind and Brain?
- Literacy and Literacy Development in Bilinguals
- The Role of Sound in Silent Reading
- Reading Sentences: Syntactic Parsing and Semantic Interpretation
- Models of Discourse Comprehension
- The Role of Words in Chinese Reading
- How Is Information Integrated Across Fixations in Reading?
- Direct Lexical and Nonlexical Control of Fixation Duration in Reading
- E-Z Reader: An Overview of the Model and Two Recent Applications
- How Children Learn to Read Words
- Children’s Spelling Development: Theories and Evidence
- Learning to Read and Spell Words in Different Writing Systems
- Children’s Reading Comprehension and Comprehension Difficulties
- Development of Dyslexia
- How Learning to Read Influences Language and Cognition
- Young Children’s Home Literacy Experiences
- Primary Grade Reading Instruction in the United States
- African American English and Its Link to Reading Achievement
- Teachers’ Knowledge About Beginning Reading Development and Instruction
- Adolescent Literacy: Development and Instruction
- Name Index
- Subject Index
Abstract and Keywords
Visual word recognition is traditionally viewed as a process of activating a lexical representation stored in long-term memory. Although this activation framework has been valuable in guiding research on visual word recognition and remains the dominant force, an alternative framework has emerged in the last decade. The Bayesian Reader framework, proposed by Norris (2006, 2009; Norris & Kinoshita, 2012a), regards the decision processes involved in a task as integral to explaining visual word recognition, and its central tenet is that human readers approximate optimal Bayesian decision-makers operating on noisy perceptual input. This chapter focuses on two issues fundamental to visual word recognition—the role of word frequency, and the representation of letter order—and describes how the Bayesian Reader framework provides a principled account of the recent findings related to these issues that are challenging to the activation framework.
Sachiko Kinoshita, Department of Cognitive Science, Macquarie University
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