The Science of Reading. Группа авторов

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O., & Marantz, A. (2010). Evidence for early morphological decomposition in visual word recognition. Journal of Cognitive Neuroscience, 22(9), 2042–2057. doi: 10.1162/jocn.2009.21296.

      66 Taft, M. (1979). Recognition of affixed words and the word frequency effect. Memory & Cognition, 7(4), 263–272. doi: 10.3758/BF03197599.

      67 Taft, M. (1994). Interactive‐activation as a framework for understanding morphological processing. Language and Cognitive Processes, 9(3), 271–294. doi: 10.1080/01690969408402120.

      68 Taft, M., & Ardasinski, S. (2006). Obligatory decomposition in reading prefixed words. The Mental Lexicon, 1(2), 183–199. doi: 10.1075/ml.1.2.02taf.

      69 Taft, M., & Forster, K. I. (1975). Lexical storage and retrieval of prefixed words. Journal of Verbal Learning and Verbal Behavior, 14(6), 638–647. doi: 10.1016/S0022‐5371(75)80051‐X.

      70 Taft, M., & Nguyen‐Hoan, M. (2010). A sticky stick? The locus of morphological representation in the lexicon. Language and Cognitive Processes, 25(2), 277–296. doi: 10.1080/01690960903043261.

      71 Tamminen, J., Davis, M. H., & Rastle, K. (2015). From specific examples to general knowledge in language learning. Cognitive Psychology, 79, 1–39. doi: 10.1016/j.cogpsych.2015.03.003.

      72 Taylor, J. S. H., Davis, M. H., & Rastle, K. (2019). Mapping visual symbols onto spoken language along the ventral visual stream. Proceedings of the National Academy of Sciences, 116(36), 17723–17728. doi: 10.1073/pnas.1818575116.

      73 Taylor, J. S. H., Duff, F. J., Woollams, A. M., Monaghan, P., & Ricketts, J. (2015). How word meaning influences word reading. Current Directions in Psychological Science, 24(4), 322–328. doi: 10.1177/0963721415574980.

      74 Taylor, J. S. H., Rastle, K., & Davis, M. H. (2013). Can cognitive models explain brain activation during word and pseudoword reading? A meta‐analysis of 36 neuroimaging studies. Psychological Bulletin, 139(4), 766–791. doi: 10.1037/a0030266.

      75 Treiman, R., Wolter, S., & Kessler, B. (2020). How sensitive are adults to the role of morphology in spelling? Morphology. doi: 10.1007/s11525‐020‐09356‐4.

      76 Ulicheva, A., Harvey, H., Aronoff, M., & Rastle, K. (2020). Skilled readers’ sensitivity to meaningful regularities in English writing. Cognition, 195, 103810. doi: 10.1016/j.cognition.2018.09.013.

      77 van Orden, G. C. (1987). A ROWS is a ROSE: Spelling, sound, and reading. Memory & Cognition, 15(3), 181–198. doi: 10.3758/BF03197716.

      78 Whiting, C., Shtyrov, Y., & Marslen‐Wilson, W. (2014). Real‐time functional architecture of visual word recognition. Journal of Cognitive Neuroscience, 27(2), 246–265. doi: 10.1162/jocn_a_00699.

      79 Yablonski, M., Rastle, K., Taylor, J. S. H., & Ben‐Shachar, M. (2019). Structural properties of the ventral reading pathways are associated with morphological processing in adult English readers. Cortex, 116, 268–285. doi: 10.1016/j.cortex.2018.06.011.

      Note

      1 1 I say “largely” because there are inconsistencies in the relationship between spelling and sound (e.g., phone, tone, cone vs. done), and there are regularities in the relationship between spelling and meaning (e.g., snore, snarl, sneeze, snort all relate to the nose).

      In this second edition, Hamilton and Hayiou‐Thomas take a broader view of the skills that children bring to the task of learning to read and are required to secure a strong foundation. Emphasizing the importance of the quality (and not just quantity) of oral language input in the pre‐school years, they review evidence on how the home literacy environment prepares children for reading and how variation in this environment can limit as well as foster their success, touching on similar issues to those explored by Phillips and Lonigan (2005). The roles of factors that are extrinsic and intrinsic to the child (including genetic factors that place them at risk of reading or language problems) are considered drivers of learning and Hamilton and Hayiou‐Thomas emphasize a “division of labour” between the learner and their environment (Byrne, 1998). Their over‐arching message is that learning to read builds on language skills, honed through interactions among the child, the caregiver, and the book.

      Castles and Nation take up the issue of how, after taking the first steps into literacy, children learn to identify words efficiently. Making a distinction between the development of sublexical and lexical level processes, they argue that sublexical learning takes precedence early in development (at a time when the child must learn the relationships between print and sound), and lexical processes gain precedence later in development with increasing exposure to print. Key to the acquisition of expertise is the process of statistical learning – while explicit instruction in phonics encourages the development of sublexical processes, rich and varied reading experience supports orthographic learning more implicitly. They discuss interactions between sublexical and lexical knowledge, and describe the task of learning to read as one in which the reading system comes to embody the structure of the writing system, paving the way to the markers of skilled word recognition discussed in the first part of this handbook.

      There are synergies here with what Ehri (2005) referred to as the development of “sight‐word reading” in the first edition of this book. She proposed that following a stage of early reading when children are beginning to use the alphabetic principle, development is a process of assimilating mappings between orthographic and phonological word forms and meaning in a single memory system. Castles and Nation’s model does not distinguish stages of development, but rather argues for item‐level developmental interactions between sublexical and lexical systems during a protracted phase of learning with a “lexical” tuning process ensuring the adaptation of the reading system for the orthography it is learning, as children’s reading experience increases.

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