Describes the natural language processing techniques used in two computer-assisted language instruction programs: VERBCON and PARSER. Contends that only by incorporating natural language processing techniques can these programs offer a substantial number of exercises and at the same time provide students with informative feedback. (Author)

Identifies issues specific to syntactic parsing for intelligent computer-assisted language instruction (ICALI), including applications, types of input errors, characteristics of natural language, and output. Presents a general overview and assessment of grammar formalisms and parsing strategies in relation to ICALI. (Author/LS)

Contends that computer-aided literature studies have failed to impact the field as a whole. Asserts that new databases, such as TLG or ARTFL, allow wide-spectrum analyses that may transform the way in which literature is studied. (CFR)

Examines the use of computers for error detection in natural language texts. Focuses on a computer program designed to teach students to edit their papers for errors using pattern matching in error detection. Describes a "pedagogy for editing" and speculates on ways to improve computer detection of errors in natural language texts. (AEM)

Asserts that humanities computing techniques and methodologies remain marginal to mainstream literary scholarship. Argues for large scale analyses of text databases that would incorporate a shift in theoretical orientation to include greater stress on intertextuality and sign theory. (CFR)