Learning to read English requires learning the complex statistical dependencies between orthography and phonology. Previous research has focused on how these statistics are learned in neural network models provided with as much training as needed. Children, however, are expected to acquire this knowledge in a few years of school with only limited…

Discusses language comprehension and describes a technology for computer-aided text analysis called READWARE and software from the READWARE family called the Research Assistant that measures the relatedness of words or phrases by examining their letters. The theory of Letter Semantics is explained, and paradigms for text processing in information…

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…

This paper presents the results of investigations into mature readers' focal point when viewing letters, words, and phrases. The focal points are accurately determined by using the after image created from a spot of light. The after image is then superimposed on the reading material. The results show that the focal point does not fall haphazardly…