Reports language acquisition experiments with simple recurrent networks solving phoneme prediction in continuous phonemic data, which suggests the network output could function as a source for syllable boundary detection. The phoneme prediction network simulates the necessary "bootstrap" to discover syllabic segmentation in unsegmented…

Describes language acquisition processes occurring in a community of interacting agents, in which coordination of joint attention leads to the development of structures, internal and external, that support organized behavior. It is argued that the simulation model demonstrates the plausibility of propositions arising from such processes, and that…

Binding theory (e.g., Chomsky, 1981) has played a central role in both syntactic theory and models of language processing. Its constraints are designed to predict that the referential domains of pronouns and reflexives are nonoverlapping, that is, are complementary; these constraints are also thought to play a role in online reference resolution.…

Models of speech production disagree on whether or not homonyms have a shared word-form representation. To investigate this issue, a picture-naming experiment was carried out using Dutch homonyms of which both meanings could be presented as a picture. Naming latencies for the low-frequency meanings of homonyms were slower than for those of the…

Disfluencies include editing terms such as "uh" and "um" as well as repeats and revisions. Little is known about how disfluencies are processed, and there has been next to no research focused on the way that disfluencies affect structure-building operations during comprehension. We review major findings from both computational linguistics and…

In the present study, using event-related functional magnetic resonance imaging, we investigated a group of participants on a grammaticality classification task after they had been exposed to well-formed consonant strings generated from an artificial regular grammar. We used an implicit acquisition paradigm in which the participants were exposed…

Plaut and Booth developed a distributed connectionist model of written word comprehension and evaluated it against empirical findings on individual and developmental differences in semantic priming in visual lexical decision. Borowsky and Besner raised a number of challenges for this model. First, the model was not shown to be capable of…

The paper offers a model of language development, first and second, within a processing perspective. We first sketch a modular view of language, in which competence is embodied in the processing mechanisms. We then propose a novel approach to language acquisition (Acquisition by Processing Theory, or APT), in which development of the module occurs…

Acquisition by Processing Theory (APT) is a unified account of language processing and learning that encompasses both L1 and L2 acquisition. Bold in aim and broad in scope, the proposal offers parsimony and comprehensiveness, both highly desirable in a theory of language acquisition. However, the sweep of the proposal is accompanied by an economy…

G. Wolford's perturbation model of letter identification is designed to account for identification errors of briefly presented characters. Its chief assumptions are that features are extracted in parallel, that some of these features become perturbed or mislocalized, and that mislocalizations are more likely to occur in the direction of the fovea…

The relation definition theory proposed in this paper is explicitly different from previous semantic memory theories since it is the first to make a relation's definition the basis of semantic processing. The paper suggests that this relation definition theory successfully predicts relation similarity on the basis of one key primary assumption:…

The conversion model of formal reasoning was examined for its ability to predict the decisions made by college students when solving concrete and abstract syllogisms. Results supported the model's contentions that reasoner's decisions reflect natural language processes in the encoding of syllogistic premises, and follow rationally from…

Data and models about recognition and recall of words and nonwords are unified using a real-time network processing theory. Adaptive resonance theory arose from an analysis of how a language system self-organizes in real time in response to its complex input environment. (Author/LMO)

Suggests that cumulative dynamic analysis of the semantic structure of the incoming message is subconsciously performed by interpreters. (Author/RL)

Examines, through two studies, how prosodic information affects syntactic processing in locally ambiguous sentences. The first study dealt with people's judgments of the continuation of locally ambiguous sentence fragments of differing lengths. The second concerned ratings of normality of sentence types with differing contours. (27 references)…