LINGUISTIC AND TUTORIAL MODELING FOR NATURAL LANGUAGE CAI

The paper describes research that has as its goal the development of a computer-based tutorial system that can recognize and generate natural English discourse, while providing CAI lesson authors with a meaningful means of lesson preparation. The primary line of research concentrates on natural lang...

Full description

Saved in:
Bibliographic Details
Main Authors: Bennik,F D, Schwarcz,R M, Silberman,H F
Format: Report
Language:English
Subjects:
COMPUTER AIDED INSTRUCTION
COMPUTERS
ENGLISH LANGUAGE
Humanities and History
Linguistics
NATURAL LANGUAGE
PROGRAMMED INSTRUCTION
SEMANTICS
STUDENTS
SYNTAX
TEACHING METHODS
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The paper describes research that has as its goal the development of a computer-based tutorial system that can recognize and generate natural English discourse, while providing CAI lesson authors with a meaningful means of lesson preparation. The primary line of research concentrates on natural language data processing and conceptual modeling designed to support a CAI system. This has resulted in computer programs that perform functional operations of syntactic and semantic analysis, inferring answers to questions, generation of coherent discourse, and recognition and generation of paraphrase. A second line of research was initiated to find decision rules for generating and sequencing remedial questions and statements. From a study of verbal data obtained from the recorded messages of tutors, as they monitor and augment the interaction between students and a computer-administered lesson, a set of effective decision rules is sought that can invoke computer generation of remedial feedback from a subject matter data base. (Author)