On the construction of effective vocabularies for information retrieval

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Abstract
Natural language query formulations exhibit advantages over artificial language statements since they permit the user to approach the retrieval environment without prior training and without using intermediaries. To obtain adequate retrieval output, it is however necessary to emphasize the good terms and to deemphasize the bad ones. The usefulness of the terms in a natural language vocabulary is first characterized in terms of their frequency distribution over the documents of a collection. The construction of "good" natural language vocabularies is then described, and methods are given for improving the vocabulary by transforming terms that operate poorly for retrieval purposes into better ones.

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