Methods of testing and diagnosing model error : dual and single route cascaded models of reading aloud

Models of visual word recognition have been assessed by both factorial and regression approaches. Factorial approaches tend to provide a relatively weak test of models, and regression approaches give little indication of the sources of models’ mispredictions, especially when parameters are not optimal. A new alternative method, involving regression on model error, combines these two approaches with parameter optimization. The method is illustrated with respect to the dual route cascaded model of reading aloud. In contrast to previous investigations, this method provides clear evidence that there are parameter-independent problems with the model, and identifies two specific sources of misprediction made by model

Naming the largest number: Exploring the boundary between mathematics and the philosophy of mathematics

What is the largest number accessible to the human imagination? The question is neither entirely mathematical nor entirely philosophical. Mathematical formulations of the problem fall into two classes: those that fail to fully capture the spirit of the problem, and those that turn it back into a philosophical problem

Feedforward, -backward and neutral transparency measures for British English

Orthographic transparency metrics for opaque or deep languages such as French and English have tended to focus on feedforward and/or feedback directions, with claims made for the influence of both on reading. In the present study, data for five transparency metrics for Southern British English, three of which are neither feedforward nor feedback, are presented demonstrating the complex relationships between metrics, and offering an explanation for feedback effects in children's reading accuracy. The structure of such metrics from a variety of corpus sizes and origins is investigated, concluding that large corpus sizes do not make a substantial contribution to the value of such metrics when compared with smaller samples, and that adult and child corpuses have very similar profiles

The positive side of a negative reference: the delay between linguistic processing and common ground

Interlocutors converge on names to refer to entities. For example, a speaker might refer to a novel looking object as the jellyfish and, once identified, the listener will too. The hypothesized mechanism behind such referential precedents is a subject of debate. The common ground view claims that listeners register the object as well as the identity of the speaker who coined the label. The linguistic view claims that, once established, precedents are treated by listeners like any other linguistic unit, i.e. without needing to keep track of the speaker. To test predictions from each account, we used visual-world eyetracking, which allows observations in real time, during a standard referential communication task. Participants had to select objects based on instructions from two speakers. In the critical condition, listeners sought an object with a negative reference such as not the jellyfish. We aimed to determine the extent to which listeners rely on the linguistic input, common ground or both. We found that initial interpretations were based on linguistic processing only and that common ground considerations do emerge but only after 1000 ms. Our findings support the idea that-at least temporally-linguistic processing can be isolated from common ground

Business success through process based application of simulation

Progressive design practices are increasingly cognisant of the potential of building energy simulation to assist the delivery of energy efficient, sustainable buildings. However, the success of any building performance assessment hinges on the capabilities of the tool; the collective competences of the team formed to apply it; and, crucially, the existence of an in-house framework within which simulation can be applied with confidence (McElroy and Clarke 1999). There is also a need for the professions to set up mechanisms that facilitate dialogue with vendors in order to influence tool capabilities. And on the related issues of building an in-house competency and a framework for application, the two core issues facing the professions are: i) a need for the development of in-house procedures for management of simulation; and ii) quality assurance of the related models and appraisal results