The Science of Reading. Группа авторов. Читать онлайн. Newlib. NEWLIB.NET

Автор: Группа авторов
Издательство: John Wiley & Sons Limited
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Жанр произведения: Языкознание
Год издания: 0
isbn: 9781119705130
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      Notes

      1 1 As applied in the Construction Integration model, “construction” contrasts sharply with its use in other comprehension accounts, where it entails an active role for the reader in constructing understanding (e.g., Graesser et al., 1994).

      2 2 English spellings are less irregular when additional factors are considered: the relative frequencies of different letter‐phoneme mappings, the within‐word positional constraints imposed by phonotactics and spelling conventions (Kessler, 2003), and the islands of regularity afforded by morphology (Rastle, this volume).

      Mark S. Seidenberg, Molly Farry‐Thorn, and Jason D. Zevin

      In reading, much depends on word recognition. Words are the elements out of which expressions are composed. They act as hubs that index the many types of information used in comprehending and producing language, whether written, spoken, or signed (Seidenberg, 2017). Words encode information about their meanings and senses, their internal structure (principally syllables, morphemes, phonemes), and their grammatical functions (e.g., noun, verb). They also carry information about the linguistic contexts in which they occur: for example the verb put refers to a particular action that occurs with an agent, object, and location, whereas carry only requires the agent and object (MacDonald et al., 1994). Knowledge of a word also includes information about language use: how often words occur and co‐occur with other words, given what is in the world and what we choose to communicate about (Clark, 2015). This statistical information is encoded as people acquire and use language (Seidenberg & MacDonald, 2018). Gaining the ability to read and understand words quickly and accurately is the great leap into literacy, but one that is challenging for many children.

      An enormous amount has been learned since then. Visual word recognition is one of the great success stories in modern cognitive science and neuroscience. For much of this period, the existence of two competing theoretical approaches – dual‐route and connectionist – accelerated research progress. These theories provided frameworks for investigating numerous aspects of reading and greatly expanded the scope of research in English and other languages. The theories also stimulated the development of computational models of specific types of information (e.g., orthography, semantics) and related phenomena (e.g., morphology: Seidenberg & Gonnerman, 2000; Seidenberg & Plaut, 2014). Visual word recognition also became a domain in which to explore contrasting approaches to computational modeling of cognitive phenomena (Coltheart, 2005; Seidenberg & Plaut, 2006), and methods for studying brain structure and function (e.g., Cox et al., 2015; Woollams et al., this volume). Given the sustained interest in the topic over many years, visual word recognition represents an important case study illustrating what modern cognitive science and neuroscience has achieved.

      The purpose of this chapter is to provide a critical perspective on this long endeavor, focusing on the role of computational modeling. Computational models of cognition serve two essential, interacting functions. One is methodological. Modeling requires theoretical claims to be specified at a level that allows them to be implemented as working simulations. A theory’s validity