Discusses a sequential, three-stage model of how nonliteral expressions are understood, as proposed in recent linguistic, philosophical, and psychological studies. Testing the model's implication that nonliteral meanings of sentences are ignored whenever literal meanings are plausible, finds evidence that both meanings are processed simultaneously…

Proposes a top-down procedural model for the dynamic extraction and use of context structure to resolve references. (FL)

Presents a model of high-dimensional context space, the Hyperspace Analogue to Language (HAL), with a series of simulations modelling human empirical results. Proposes that HAL's context space can be used to provide a basic categorization of semantic and grammatical concepts; model certain aspects of morphological ambiguity in verbs; and provide…

The study described here offers a model of target-context relations in language comprehension. It is based on the hypothesis that the same formal mechanisms that produce cohesion in discourse and texts are critically involved in language comprehension. The model posits that: (1) the comprehension of a target turn is primarily dependent on the…

Proposes a model of word identification and tests it by examining the influence of orthographic redundancy, versatility, and letter-sound correspondences on the identification of both high- and low-frequency words by children and adults. (FL)

Two experiments explored whether the facilitatory effect of context on lexical decisions is limited to words subjects generated when given the context as a prompt in a production task, or if the effect is wider in scope. The first experiment provided evidence of a wide scope of facilitation from single word contexts. In the second experiment, the…

Individual differences in context effects both in a word-level task and in a sentence-level task were found to be related to individual differences in reading continuous text. These results are presented within the framework of a verification model, and the implications for two-process theory are discussed. (Author/PN)

Noting that while the language experience approach to reading instruction assumes that the learner is intuitively familiar with the language and that this familiarity facilitates recognition of the language on the printed page, this paper argues that students learning to read in a second language do not have the same degree of intuitive…

Argues that the syntactic and mental model accounts of the suppression effect in deductive reasoning are inadequate. Proposes a relative salience model. Describes a test of predictions from this model in a suppression model, which obtained evidence of convergent validity for the salience construct. Results could not be reconciled with either the…

Recognizing a word in a meaningful text involves processes that combine information from many different sources, and both bottom-up processes (such as feature extraction and letter recognition) and top-down processes (contextual information) are thought to interact when skilled readers recognize words. Two similar experiments investigated word…

Part of a research project designed to develop a theory of the cognitive processes involved in skilled reading by the analysis of the location and duration of eye fixations, this paper concentrates on how eye fixations can be used to determine when encoding, lexical access, parsing, and integration processes are executed and how they are affected…

The results of a word recognition study are compared to those of a sign recognition study in order to determine which aspects of lexical access are comparable in speech and sign, and which are specific to each of the two language modalities. The "gating paradigm" was used in both studies. (Author/AMH)

The experiments described in this paper compare inference-based and expectancy-based models of the comprehension of indirect, non-literal expressions. The inference-based model claims that the comprehension of non-literal meanings requires more and deeper processing than the comprehension of literal meanings. The expectancy-based model rests on…

In order to build robust natural language processing systems that can detect and recover from miscommunication, the investigation of how people communicate and how they recover from problems in communication described in this artificial intelligence report focused on reference problems which a listener may have in determining what or whom a…