A PROGRAMMING SYSTEM FOR AUTOMATIC CLASSIFICATION WITH APPLICATIONS IN LINGUISTIC AND INFORMATION RETRIEVAL RESEARCH
TEXAS UNIV AT AUSTIN LINGUISTICS RESEARCH CENTER
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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.
- Information Science