There exist numerous grammar inference methods, that use sets of both positive and negative examples as an algorithm input. The origin of these examples could be very diverse - from real-life data to manually crafted data. Both categories have their advantages and disadvantages. We present an alternative approach: the application of an automated grammar generator.