Abstract: An embodiment of the present application provides a method and a device for predicting a pair of similar questions and an electronic equipment, wherein a pair of similar questions to be predicted are input into multiple different prediction models, and a prediction result output by each of the prediction models is obtained; a random disturbance parameter is added into an embedding layer of at least one of the prediction models; and voting operation is performed on multiple prediction results to obtain a final prediction result of the pair of similar questions to be predicted. According to the present application, the a random disturbance parameter is added into the embedding layer of the prediction model, so that over-fitting caused by over-learning of sample knowledge by the prediction model can be effectively prevented, and the prediction accuracy can be effectively improved by predicting the pair of similar questions utilizing the prediction model.