14. A process for developing a dialog system, comprising generating estimate data representative of the number of example phrases required to achieve a predetermined speech recognition accuracy when using said dialog system wherein said generating includes: generating a test set of example input phrases for said dialog system; generating training sets of example input phrases for said dialog system, said training sets comprising different respective numbers of said example input phrases; generating respective grammars on the basis of said training sets; determining the respective portions of said test set covered by said training sets; and determining, on the basis of said portions and the respective numbers of input phrases, a relationship between a number of example input phrases and an estimated probability that an input phrase is correctly recognized.
14. A process for developing a dialog system, comprising generating estimate data representative of the number of example phrases required to achieve a predetermined speech recognition accuracy when using said dialog system wherein said generating includes: generating a test set of example input phrases for said dialog system; generating training sets of example input phrases for said dialog system, said training sets comprising different respective numbers of said example input phrases; generating respective grammars on the basis of said training sets; determining the respective portions of said test set covered by said training sets; and determining, on the basis of said portions and the respective numbers of input phrases, a relationship between a number of example input phrases and an estimated probability that an input phrase is correctly recognized. 18. A process as claimed in claim 14 , wherein said test set and said training sets are generated by randomly selecting phrases from a plurality of example input phrases for said dialog system.