For all these input methods, the prediction aids are provided. This requires the system to predict the next most likely Chinese character based on the previous input. The conventional approach is to use the frequencies of the Chinese word phrases. Now, we present an approach by using the combination of the simple recurrent neural network and the genetic algorithm. The simple recurrent network makes the prediction result change dynamically for different contexts, even the previous Chinese character maybe the same.
Experiments show that the method is promising.
Keywords Neural networks, Genetic algorithms, Chinese character prediction. Back to previous page. Back to home page.