To conceptualize a reader's comprehension of text as a semantic and interpretive processing of information, it is necessary to take note of interactions among persons and texts and conditions under which the texts are to be comprehended. A Computer-Assisted Language Analysis System (CALAS) was constructed which focuses on the text as any interpretable record of the employment of a language. In making its interpretations, CALAS utilizes a model of the English language, which imputes to its texts the properties of a syntactic and semantic grammar. Data analysis is accomplished in three stages: (1) analyzing the text to identify each word in sequence in terms of its grammatical equivalent; (2) gathering the individual words into phrases, which are again identified in terms of their grammatical equivalents; and (3) gathering phrases into clauses, with the component phrases displayed within each clause and identifying the phrases within a clause in terms of the roles each plays within the clause. This macro/micro analysis of text invites identification of and comparison among texts in terms of their structural properties. (HOD)