A PROGRAMMING SYSTEM FOR AUTOMATIC CLASSIFICATION WITH APPLICATIONS IN LINGUISTIC AND INFORMATION RETRIEVAL RESEARCH
Abstract
Two key problems, both of which must be solved as a part continuing progress toward full use of the computer are discussed: automatic classification techniques, and how to use them as a basis for self-organizing descriptive systems in syntactic and semantic research. Under the first, were three objectives: (1) An appropriate basis for retrieval operations in the machine environment; (2) Techniques that are computationally feasible on a significantly large scale; and (3) Immediate use in order to facilitate current research and experimentation with man-machine systems. Algorithms developed largely by R. M. Needham and based on the theory of clumps provided the techniques for computing the necessary classifications and associations. Moreover, experiments by Needham and others have demonstrated the usefulness of the classification technique as a basis for associative document retrieval. These considerations have prompted the development of a programming system that provides a flexible computational facility for research and experimentation with classification techniques.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 1964
- Accession Number
- AD0609180
Entities
People
- A. G. Dale
- E. D. Pendergraft
- N. Dale
Organizations
- University of Texas at Austin