This chapter focuses on the process by which stored knowledge about a word's form (orthographic or phonological) maps onto stored knowledge about its meaning. This mapping is made challenging by the ambiguity that is ubiquitous in natural language: most familiar words can refer to multiple different concepts. This one-to-many mapping from form to meaning within the lexicon is a core feature of word-meaning access. Fluent, accurate word-meaning access requires that comprehenders integrate multiple cues in order to determine which of a word's possible semantic features are relevant in the current context. Specifically, word-meaning access is guided by (i) distributional information about the a priori relative likelihoods of different word meanings and (ii) a wide range of contextual cues that indicate which meanings are most likely in the current context.
Word Meaning Access 3
Words: The Gateway to MeaningThe mental lexicon contains stored knowledge about familiar words: information about their spoken and written forms, their meanings and their grammatical properties (see other chapters in this volume). A complete theoretical account of lexical processing must specify not only the nature of these different forms of stored, lexical knowledge, but must also describe the computational processes by which these different forms of knowledge interact. Here we focus on the process by which stored knowledge about a word's form (either orthographic or phonological) maps forward onto knowledge about its meaning.Wordforms are the gateway to meaning: once a reader (or listener) has identified the particular spoken or printed word that is present in their environment they are able to access a rich store of conceptual knowledge that may include perceptual, abstract and episodic features of the relevant concept. These individual word-sized units of stored knowledge can be combined together in a hierarchical manner within sentences to communicate complex, novel ideas.A common approach in models of lexical processing is to assume that the lexicon contains abstract representations of individual words. For example, in Morton's highly influential Logogen model (1969), any given logogen becomes activated by information (perceptual or contextual) that is consistent with the properties of that specific word. Once a single logogen's activation level rises to its threshold level, the properties of that word (including its meaning) becomes available to the comprehender. This idea that individual words are represented by abstract lexical units is retained in subsequent models such as the Cohort model of spoken word recognition (Marslen-Wilson & Welsh, 1978), the Interactive Activation and Competition model of visual word recognition (McClelland & Rumelhart, 1981), and the Dual Route Cascaded model of reading aloud (Coltheart, Rastle, Perry, Langdon, & Ziegler, 2001). Word Meaning Access 4Thus, according to these models, lexical representations provide an abstract level of lexical knowledge that bridges the gap between form-based (phonological...