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A description will be given of a procedure to asslgn the most likely probabilitles to each of the rules of a given context-free grammar. The grammar developed by S. Kuno at Harvard University was picked as the basis and was successfully augmented with rule probabilities.A brief exposition of the method with some preliminary results, whenused as a device for disamblguatingparsing English texts picked from natural corpus, will be given.

A description will be given of a procedure to asslgn the most likely probabilitles to each of the rules of a given context-free grammar. The grammar developed by S. Kuno at Harvard University was picked as the basis and was successfully augmented with rule probabilities. A brief exposition of the method with some preliminary results, whenused as a device for disamblguatingparsing English texts picked from natural corpus, will be given.

Basic considerations in designing a natural data base query language system are discussed. The notion of the noun-phrase data model is elaborated, and its role in making a query system suitable for general use is stressed. An experimental query system, Yachimata, embodying the concept, is described.

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