Discusses the extent to which computers can understand natural language. Considers assertions that computers can be described as literate, and considers more generally the purpose of designing machines which perform like humans. (RS)

Discusses the systematic relationship between the language patterns of a text and the context of situation that enables a reader to predict from one to the other. (FL)

Suggests 10 classroom-tested activities that improve reading comprehension. (DF)

Suggests that further explication of the notion of "importance" will benefit the reading field, at both practical and theoretical levels. (ARH)

Discusses the theory that reading is more than the searching for meaning within a text. Argues that the meaning of a text actually is in the interaction between reader and text. (FL)

Studies the effects of two comprehension training methods (one based on imagery and inferencing, the other based on text structure) on various aspects of third and fifth graders' reading performance. Results indicate that neither method had a measurable impact on reading comprehension nor on metacognitive knowledge of the reading process. (RS)