23. A process for use in developing a dialog system, including: generating first function data, representing the respective probabilities that a phrase provided to said dialog system is predicted by grammars of said dialog system as a function of the number of example phrases used to generate said grammars; generating second function data, representing the probability that an in-grammar phrase provided to said dialog system is correctly recognized as a function of the number of example phrases used to generate said grammars; generating a third function on the basis of said first function and said second function, said third function representing the probability that a spoken phrase provided to said system is correctly recognized as a function of the number of examples used to generate said grammars.
23. A process for use in developing a dialog system, including: generating first function data, representing the respective probabilities that a phrase provided to said dialog system is predicted by grammars of said dialog system as a function of the number of example phrases used to generate said grammars; generating second function data, representing the probability that an in-grammar phrase provided to said dialog system is correctly recognized as a function of the number of example phrases used to generate said grammars; generating a third function on the basis of said first function and said second function, said third function representing the probability that a spoken phrase provided to said system is correctly recognized as a function of the number of examples used to generate said grammars. 27. A process as claimed in claim 23 , wherein measurements of speech recognition accuracy and/or grammar coverage at various stages of development of said spoken dialog system may be used to update the estimate of maximum speech recognition accuracy and/or the estimate of the number of samples required to be collected to achieve said maximum speech recognition accuracy.